Archive data resource integration processing method and system

Abstract

The invention discloses an archive data resource integration processing method and system, and relates to the field of archive data processing, and the method comprises the steps: extracting space object data of archive data according to a geographic hierarchy division rule, and constructing a space object logic table according to the space object data based on a knowledge graph; extracting unit object data of the archive data based on the space object logic table, and constructing a unit object time sequence data model according to the unit object data based on a correlation analysis technology; extracting project object data of the archive data according to the unit object time sequence data model, and constructing a project stage task list according to the project object data based on a topic modeling technology; extracting an object set of the archive data according to the project stage task list, and constructing an archive data resource integration view according to the object set in combination with the space object logic table, the unit object time sequence data model and the project stage task list; and completing resource integration of the file data to be arranged according to the file data resource integration view.

Description

Technical Field

[0001] The present application relates to the field of archival data processing, and in particular to a method and system for integrating and processing archival data resources. Background Art

[0002] With the continuous improvement of archival utilization systems and the continuous innovation of application models, traditional archival storage and utilization models are no longer able to meet the demand for high-quality archival utilization in urban governance. There is an urgent need to build an archival "three-fonds" system based on key archival element information (spatial objects, unit objects, and project objects). This system connects different resources through archival elements, forming a relationship between archival assets and service objects, thereby promoting the integrated application of archival data resources in different fields. During the archival "three-fonds" process, it is necessary to distinguish and classify each type of object, and resolve conflicts to ensure the granularity and relevance of the archives, that is, to ensure the accuracy of archival management. Traditional manual organization methods cannot simultaneously consider both granularity and relevance when organizing archival data in accordance with the "three-fonds" rules, and are prone to neglecting one while focusing on the other, thus affecting the accuracy of archival management. Therefore, how to ensure the accuracy of archival data during the process of organizing archival data according to the "three-fonds" rules remains a technical problem that needs to be solved in existing technologies. Summary of the Invention

[0003] This application provides a method and system for integrating and processing archival data resources to solve the technical problem that existing archival data organization methods cannot ensure the accuracy of archival data under the archival "three-fold" rules.

[0004] According to a first aspect of the embodiments of the present application, a method for integrating and processing archival data resources is provided, comprising:

[0005] According to the preset geographical hierarchical division rules, the spatial object data of the archival data to be sorted is extracted, and based on the knowledge graph, a spatial object logical table is constructed according to the spatial object data;

[0006] Extracting unit object data of the archive data based on the spatial object logic table, and constructing a unit object time series data model based on the unit object data based on association analysis technology;

[0007] Extracting project object data from the archive data based on the unit object time series data model, and constructing a project phase task list based on the project object data based on topic modeling technology;

[0008] Extracting an object set of the archival data according to the project phase task list, and constructing an archival data resource integration view based on the object set, in combination with the spatial object logic table, the unit object time series data model, and the project phase task list;

[0009] Integrate the archival data to be sorted out according to the integrated view of the archival data resources.

[0010] In this application, first, according to the geographical hierarchy division rules, the spatial object data of the archival data to be sorted out is extracted, and based on this, a spatial object logic table is constructed based on the knowledge graph, which can accurately extract the spatial objects necessary for the "three full archives" of the archives through the geographical hierarchy division rules and the knowledge graph; then, based on the spatial object logic table, the unit object data is extracted, and based on this, a unit object time series data model is constructed based on the correlation analysis technology, which can accurately extract the unit objects necessary for the "three full archives" of the archives through the correlation analysis technology; then, based on the unit object time series data model, the project object data is extracted, and based on this, a project stage task list is constructed based on the topic modeling technology, which can accurately extract the project objects necessary for the "three full archives" of the archives through the topic modeling technology; then, based on the project stage task list, the object set is extracted, and combined with the construction of the integrated view of the archival data resources, it can ensure the completeness and accuracy of each element of the "three full archives" of the archives; at the same time, through the interlocking extraction method of each element of the "three full archives" of the archives, it can ensure the correctness of the connection between each element of the "three full archives" of the archives, avoid the inaccuracy of the integrated archival data caused by the mismatch of each element, and thus ensure the accuracy of the archival data when integrating the archival data to be sorted out according to the integrated view of the archival data resources.

[0011] In some embodiments of the present application, the step of extracting the spatial object data of the archival data to be sorted out according to the preset geographical hierarchy division rules and constructing a spatial object logic table based on the knowledge graph according to the spatial object data specifically includes:

[0012] Extract the spatial object data of the archival data based on named entity recognition according to the geographical hierarchy division rules;

[0013] Structurize the spatial object data based on semantic mapping to obtain spatial object structure data;

[0014] Construct a spatial object logic table based on the knowledge graph according to the spatial object structure data.

[0015] Through named entity recognition, this application extracts spatial object data by combining geographical hierarchy division rules, can identify the named entities of the spatial objects in the archive data, and thus accurately extract the spatial object data according to the named entities; furthermore, through semantic mapping to structure the spatial object data, it can capture the relationship features between each piece of spatial object data, thereby more precisely constructing the structured spatial object structure data; furthermore, through the knowledge graph, the spatial object structure data is further transformed into a spatial object logic table, which can make the obtained spatial object logic table more in line with the requirements of the spatial objects in the "three fonds" of the archives, so as to ensure the accuracy of the archive data when conducting resource integration.

[0016] In some embodiments of this application, based on the spatial object logic table, the unit object data of the archive data is extracted, and based on the association analysis technology, according to the unit object data, a unit object time-series data model is constructed, specifically including:

[0017] Based on the spatial object logic table, based on semantic matching, the unit object data of the archive data is extracted in chronological order;

[0018] According to the unit object data, a unit object initial time-series data model is constructed;

[0019] Based on the association analysis technology, combined with the temporal changes of each unit object in the unit object data, the unit object initial time-series data model is updated to obtain a unit object time-series data model.

[0020] This application extracts unit object data in chronological order by combining semantic matching with the spatial object logic table, can identify the unit objects corresponding to the spatial objects according to the degree of semantic matching, and thus accurately extract the unit object data; furthermore, a unit object initial time-series data model is constructed, and based on the association analysis technology, combined with the temporal changes, the unit object time-series data model is updated to obtain, which can associate the unit objects before and after the temporal changes to obtain a more accurate unit object time-series data model, and further make the unit object time-series data model more in line with the requirements of the unit objects in the "three fonds" of the archives, so as to ensure the accuracy of the archive data when conducting resource integration.

[0021] In some embodiments of this application, according to the unit object time-series data model, the project object data of the archive data is extracted, and based on the topic modeling technology, according to the project object data, a project stage task list is constructed, specifically including:

[0022] According to the unit object time-series data model, the project object data of the archive data is extracted; wherein, the project object data includes project stage initial division data and project division of labor information;

[0023] Based on topic modeling, the initial project stage division data is divided and refined to obtain project stage division data;

[0024] The project stage division data and the project division information are merged to construct a project stage task list.

[0025] This application first extracts project object data according to the unit object time series data model, and then based on topic modeling, divides and refines the initial project stage division data in the project object data to obtain project stage division data. It can accurately extract project object data by identifying the project themes in the initial project stage division data and dividing and refining based on them. Furthermore, by merging the project stage division data and the project division information in the project object data to construct a project stage task list, the resulting project stage task list can better meet the needs of project objects in the "three fonds" of archives, thus ensuring the accuracy of archive data during resource integration.

[0026] In some embodiments of this application, according to the project stage task list, an object set of the archive data is extracted, and based on the object set, in combination with the spatial object logic table, the unit object time series data model, and the project stage task list, an archive data resource integration view is constructed, which specifically includes:

[0027] According to the project stage task list, an object set of the archive data is extracted;

[0028] Based on the object set, in combination with the spatial object logic table, an object relationship model is constructed;

[0029] Based on the object relationship model, in combination with the unit object time series data model and the project stage task list, an object logical data model is constructed;

[0030] Based on semantic mapping, through the object logical data model, an archive data resource integration view is constructed.

[0031] This application first extracts the object set of archive data according to the project stage task list, then constructs an object relationship model in combination with the spatial object logic table, and constructs an object logical data model in combination with the unit object time series data model and the project stage task list, which can correspondingly add spatial object logic, unit object time series changes, and project stage task data to the model, and then obtain an object logical data model that better meets the needs of the "three fonds" of archives. Furthermore, when constructing the archive data resource integration view based on semantic mapping, it ensures the accuracy of the archive data resource integration view, thus ensuring the accuracy of archive data during resource integration.

[0032] According to the second aspect of the embodiments of the present application, a file data resource integration processing system is provided, including a spatial object data processing module, a unit object data processing module, a project object data processing module, a resource integration view construction module, and a file data resource integration module;

[0033] The spatial object data processing module is used to extract the spatial object data of the file data to be sorted according to the preset geographical level division rules, and based on the knowledge graph, construct a spatial object logic table according to the spatial object data;

[0034] The unit object data processing module is used to extract the spatial object data of the file data to be sorted according to the preset geographical level division rules, and based on the knowledge graph, construct a spatial object logic table according to the spatial object data;

[0035] The project object data processing module is used to extract the project object data of the file data according to the unit object time series data model, and based on the topic modeling technology, construct a project stage task list according to the project object data;

[0036] The resource integration view construction module is used to extract the object set of the file data according to the project stage task list, and based on the object set, combine the spatial object logic table, the unit object time series data model, and the project stage task list to construct a file data resource integration view;

[0037] The file data resource integration module is used to complete the resource integration of the file data to be sorted according to the file data resource integration view.

[0038] In some embodiments of the present application, the spatial object data processing module includes a spatial object data extraction unit, a data structuring unit, and a logic table construction unit;

[0039] The spatial object data extraction unit is used to extract the spatial object data of the file data based on named entity recognition according to the geographical level division rules;

[0040] The data structuring unit is used to structure the spatial object data based on semantic mapping to obtain spatial object structure data;

[0041] The logic table construction unit is used to construct a spatial object logic table based on the knowledge graph according to the spatial object structure data.

[0042] In some embodiments of the present application, the unit object data processing module includes a unit object data extraction unit, an initial time series model construction unit, and a time series model update unit;

[0043] The unit object data extraction unit is configured to extract the unit object data of the file data based on semantic matching according to the space object logic table in chronological order;

[0044] The initial time series model construction unit is configured to construct an initial time series data model of the unit object according to the unit object data;

[0045] The time series model updating unit is configured to update the initial time series data model of the unit object based on the correlation analysis technology and in combination with the changes of each unit object in the unit object data over time to obtain a time series data model of the unit object.

[0046] In some embodiments of the present application, the project object data processing module includes a project object data extraction unit, a project data division refinement unit, and a project task list construction unit;

[0047] The project object data extraction unit is configured to extract the project object data of the file data according to the time series data model of the unit object; wherein, the project object data includes initial project stage division data and project division of labor information;

[0048] The project data division refinement unit is configured to divide and refine the initial project stage division data based on topic modeling to obtain project stage division data;

[0049] The project task list construction unit is configured to merge the project stage division data and the project division of labor information to construct a project stage task list.

[0050] In some embodiments of the present application, the resource integration view construction module includes an object set extraction unit, an object relationship model construction unit, an object logical data model construction unit, and a resource integration view construction unit;

[0051] The object set extraction unit is configured to extract an object set of the file data according to the project stage task list;

[0052] The object relationship model construction unit is configured to construct an object relationship model according to the object set in combination with the space object logic table;

[0053] The object logical data model construction unit is configured to construct an object logical data model according to the object relationship model in combination with the time series data model of the unit object and the project stage task list;

[0054] The resource integration view construction unit is configured to construct a resource integration view of the file data based on semantic mapping through the object logical data model.

[0055] This application first extracts the spatial object data of the file data to be sorted according to the geographical hierarchy division rules, and based on this, constructs a spatial object logic table on the knowledge graph, which can accurately extract the spatial objects necessary for the "three full archives" of the file through the geographical hierarchy division rules and the knowledge graph; furthermore, based on the spatial object logic table, the unit object data is extracted, and based on this, a unit object time series data model is constructed by means of correlation analysis technology, which can accurately extract the unit objects necessary for the "three full archives" of the file through the correlation analysis technology; furthermore, based on the unit object time series data model, the project object data is extracted, and based on this, a project stage task list is constructed by means of topic modeling technology, which can accurately extract the project objects necessary for the "three full archives" of the file; furthermore, based on the project stage task list, the object set is extracted, and combined with the construction of the file data resource integration view, it can ensure the completeness and accuracy of the various elements of the "three full archives" of the file; at the same time, through the interlocking extraction method of the various elements of the "three full archives" of the file, it can ensure the correctness of the connection between the various elements of the "three full archives" of the file, avoid the inaccuracy of the file data after integration caused by the mismatch of the various elements, and thus ensure the accuracy of the file data when completing the resource integration of the file data to be sorted according to the file data resource integration view. Description of the Drawings

[0056] Figure 1 : A schematic flow chart of a method for integrating and processing file data resources shown in certain embodiments of this application;

[0057] Figure 2 : A module structure diagram of a file data resource integration and processing system shown in certain embodiments of this application. Detailed Embodiments

[0058] The following details the embodiments of this application. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by combining the drawings are exemplary and are only used to explain some embodiments of this application, and cannot be understood as a limitation of the embodiments of this application. Based on the embodiments shown in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0059] In the description of this application, it should be understood that the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of this application, unless otherwise specifically defined, the meaning of "a plurality" and "several" is two or more.

[0060] When using the traditional manual sorting method for the "three fonds" of archives, it is impossible to take into account both the fine-grainedness and relevance of the archives at the same time. It is easy to focus on one thing and lose sight of another, which will affect the accuracy of archive management. Therefore, in the process of sorting archive data according to the "three fonds" rules of archives, how to ensure the accuracy of archive data is still one of the technical problems that need to be solved urgently in the existing technology.

[0061] Based on the above technical background, please refer to Figure 1 , the embodiments of the present application provide a method for integrating and processing archive data resources, including steps S101 to S105. The specific steps are as follows:

[0062] Step S101: According to the preset geographical level division rule, extract the spatial object data of the archive data to be sorted, and based on the knowledge graph, construct a spatial object logical table according to the spatial object data.

[0063] In some embodiments of the present application, the step of extracting the spatial object data of the archive data to be sorted according to the preset geographical level division rule and constructing a spatial object logical table according to the spatial object data based on the knowledge graph specifically includes:

[0064] According to the geographical level division rule, based on named entity recognition, extract the spatial object data of the archive data;

[0065] Based on semantic mapping, structure the spatial object data to obtain spatial object structure data;

[0066] According to the spatial object structure data, construct a spatial object logical table based on the knowledge graph.

[0067] Considering extracting spatial object data through the combination of geographical level division rules and named entity recognition, it is because the geographical level division rules can provide the division levels required for named entity recognition, avoiding incomplete named entities obtained during named entity recognition, thereby improving the accuracy of the obtained spatial object data. Exemplarily, when performing named entity recognition on archive data according to the geographical level division rule, such as according to "Building No. 2, Road B1, Street B, District A1, City A", the named entity "Road B1, Street B, District A1, City A" can be accurately recognized, rather than incomplete named entities such as "District A1, City A" and "Street B, District A1, City A", so as to extract the corresponding spatial object structure data according to the archive data corresponding to the named entity.

[0068] The consideration of structuring spatial object data through semantic mapping is because through semantic mapping, semantic ambiguities or content that is not conducive to computer storage or understanding can be eliminated, and at the same time, various expression forms can be unified. Exemplarily, based on semantic mapping, when structuring spatial object data, for example, the addresses "Building No. 2, Road B1, Street B, District A1, City A" and "Building No. Two, Road B1, Street B, District A1, City A" in the spatial object data will be recognized as the same address, so as to classify the file data corresponding to the two addresses.

[0069] The consideration of constructing a spatial object logic table through a knowledge graph is because through each named entity in the spatial object structured data, the corresponding named entity pre-constructed in the knowledge graph can be retrieved, and its corresponding geographical level logic can be obtained, so as to associate named entities at different levels, that is, to associate spatial objects at different levels, and then construct the corresponding spatial object logic table.

[0070] This application extracts spatial object data by named entity recognition and in combination with geographical level division rules, can identify the named entities of the spatial objects in the file data, so as to accurately extract the spatial object data according to the named entities; furthermore, by structuring the spatial object data through semantic mapping, the relationship features between each piece of spatial object data can be captured, so as to more precisely construct the structured spatial object structure data; furthermore, by converting the spatial object structure data into a spatial object logic table through a knowledge graph, the obtained spatial object logic table can better meet the requirements of the spatial objects in the "three fonds" of the file, so as to ensure the accuracy of the file data when performing resource integration.

[0071] Step S102: Based on the spatial object logic table, extract the unit object data of the file data, and based on the correlation analysis technology, construct a unit object time series data model according to the unit object data.

[0072] In some embodiments of the present application, the extracting the unit object data of the file data based on the spatial object logic table and constructing a unit object time series data model according to the unit object data based on the correlation analysis technology specifically includes:

[0073] According to the spatial object logic table, based on semantic matching, extract the unit object data of the file data in chronological order;

[0074] Construct a unit object initial time series data model according to the unit object data;

[0075] Based on the correlation analysis technology, in combination with the changes of each unit object in the unit object data over time, update the unit object initial time series data model to obtain a unit object time series data model.

[0076] In certain embodiments of the present application, constructing the initial time-series data model of the unit object based on the unit object data specifically includes:

[0077] Constructing the time-series event chain of each unit object in the unit object data according to the time sequence based on the unit object data;

[0078] Constructing the initial time-series data model of the unit object according to the time-series event chain of each unit object.

[0079] Considering updating the initial time-series data model of the unit object through association analysis technology because through association analysis technology, it is possible to analyze the changes of each unit object based on time series, and then associate the different unit objects before and after belonging to the same change chain in time, and merge their corresponding time-series event chains, so that the obtained initial time-series data model of the unit object is more in line with the actual time-series changes of the unit object.

[0080] In the present application, through semantic matching, combined with the spatial object logic table, the unit object data is extracted according to the time sequence, and the unit object corresponding to the spatial object can be identified according to the degree of semantic matching, so as to accurately extract the unit object data; furthermore, the initial time-series data model of the unit object is constructed, and based on the association analysis technology, combined with the time-series changes, the time-series data model of the unit object is updated, and the unit objects before and after the time-series changes can be associated to obtain a more accurate time-series data model of the unit object, and then the time-series data model of the unit object is more in line with the requirements of the unit object in the "three fonds" of the archives, so as to ensure the accuracy of the archive data when performing resource integration.

[0081] Step S103: Extract the project object data of the archive data according to the time-series data model of the unit object, and construct a project stage task list based on the project object data by using the topic modeling technology.

[0082] In certain embodiments of the present application, extracting the project object data of the archive data according to the time-series data model of the unit object and constructing a project stage task list based on the project object data by using the topic modeling technology specifically includes:

[0083] Extracting the project object data of the archive data according to the time-series data model of the unit object; wherein, the project object data includes the initial project stage division data and the project division of labor information;

[0084] Based on topic modeling, dividing and refining the initial project stage division data to obtain the project stage division data;

[0085] Combining the project stage division data and the project division of labor information to construct a project stage task list.

[0086] Specifically, when extracting the project object data of the file data, first, according to each unit object in the unit object time series data model, extract the projects responsible for each unit object, and then obtain the initial project stage division data and project division information corresponding to each responsible project of each unit object, that is, the project object data.

[0087] In some embodiments of the present application, based on topic modeling, the initial project stage division data is divided and refined to obtain project stage division data, specifically:

[0088] Based on topic modeling, identify the processes in the initial project stage division data to obtain multiple project processes; among them, when identifying, refine the naming of the data without process naming in the initial project stage division data.

[0089] According to the multiple project processes, re-divide the initial project stage division data to obtain project stage division data.

[0090] The present application first extracts project object data according to the unit object time series data model, and then based on topic modeling, divides and refines the initial project stage division data in the project object data to obtain project stage division data. It can accurately extract project object data by identifying the project themes of the initial project stage division data and dividing and refining based on them; furthermore, by combining the project stage division data and the project division information in the project object data to construct a project stage task list, the obtained project stage task list can better meet the needs of project objects in the "three fonds" of the file, so as to ensure the accuracy of file data when integrating resources.

[0091] Step S104: According to the project stage task list, extract the object set of the file data, and based on the object set, combine the spatial object logic table, the unit object time series data model, and the project stage task list to construct a file data resource integration view.

[0092] In some embodiments of the present application, the step of extracting the object set of the file data according to the project stage task list, and based on the object set, combining the spatial object logic table, the unit object time series data model, and the project stage task list to construct a file data resource integration view specifically includes:

[0093] According to the project stage task list, extract the object set of the file data;

[0094] According to the object set, combine the spatial object logic table to construct an object relationship model;

[0095] Construct an object logical data model according to the object relationship model, in combination with the unit object time series data model and the project phase task list;

[0096] Based on semantic mapping, construct an integrated view of archival data resources through the object logical data model.

[0097] Specifically, the preferred implementation of the object set is the project object.

[0098] The reason for considering constructing the object logical data model step by step by combining the object set with the spatial object logical table, the unit object time series data model and the project phase task list is that embedding the spatial object logic into the object set can substitute the geographical hierarchy logic, and then embedding the unit object time series data into the object set can substitute the time series changes, and then embedding the project phase task list into the object set can substitute the project phase changes, so as to obtain an object logical data model that better meets the requirements of the "three fonds" of archives.

[0099] This application first extracts the object set of archival data according to the project phase task list, then constructs an object relationship model in combination with the spatial object logical table, and constructs an object logical data model in combination with the unit object time series data model and the project phase task list, which can correspondingly add spatial object logic, unit object time series changes and project phase task data to the model, and then obtain an object logical data model that better meets the requirements of the "three fonds" of archives. Furthermore, when constructing the integrated view of archival data resources based on semantic mapping, the accuracy of the integrated view of archival data resources is ensured, thus ensuring the accuracy of archival data during resource integration.

[0100] Step S105: Complete the resource integration of the archival data to be sorted according to the integrated view of archival data resources.

[0101] This application first extracts the spatial object data of the archive data to be sorted according to the geographical level division rules, and constructs a spatial object logic table based on the knowledge graph, so as to accurately extract the spatial objects necessary for the "three full archives" of the archive through the geographical level division rules and the knowledge graph; furthermore, based on the spatial object logic table, the unit object data is extracted, and a unit object time series data model is constructed based on the correlation analysis technology, so as to accurately extract the unit objects necessary for the "three full archives" of the archive through the correlation analysis technology; furthermore, based on the unit object time series data model, the project object data is extracted, and a project stage task list is constructed based on the topic modeling technology, so as to accurately extract the project objects necessary for the "three full archives" of the archive through the topic modeling technology; furthermore, based on the project stage task list, the object set is extracted, and combined with the construction of the archive data resource integration view, it can ensure the completeness and accuracy of each element of the "three full archives" of the archive; at the same time, through the interlocking extraction method of each element of the "three full archives" of the archive, it can ensure the correctness of the connection between each element of the "three full archives" of the archive, and avoid the inaccuracy of the integrated archive data caused by the mismatch of each element, so as to ensure the accuracy of the archive data when completing the resource integration of the archive data to be sorted according to the archive data resource integration view.

[0102] Corresponding to the foregoing method, please refer to Figure 2 , the embodiment of this application provides an archive data resource integration processing system, including a spatial object data processing module 210, a unit object data processing module 220, a project object data processing module 230, a resource integration view construction module 240, and an archive data resource integration module 250;

[0103] The spatial object data processing module 210 is configured to extract the spatial object data of the archive data to be sorted according to the preset geographical level division rules, and construct a spatial object logic table based on the knowledge graph according to the spatial object data;

[0104] The unit object data processing module 220 is configured to extract the spatial object data of the archive data to be sorted according to the preset geographical level division rules, and construct a spatial object logic table based on the knowledge graph according to the spatial object data;

[0105] The project object data processing module 230 is configured to extract the project object data of the archive data according to the unit object time series data model, and construct a project stage task list based on the topic modeling technology according to the project object data;

[0106] The resource integration view construction module 240 is configured to extract the object set of the archive data according to the project phase task list, and construct an archive data resource integration view according to the object set in combination with the spatial object logic table, the unit object time series data model, and the project phase task list;

[0107] The archive data resource integration module 250 is configured to complete the resource integration of the archive data to be sorted out according to the archive data resource integration view.

[0108] In some embodiments of the present application, the spatial object data processing module 210 includes a spatial object data extraction unit, a data structuring unit, and a logic table construction unit;

[0109] The spatial object data extraction unit is configured to extract the spatial object data of the archive data based on named entity recognition according to the geographical level division rule;

[0110] The data structuring unit is configured to structure the spatial object data based on semantic mapping to obtain spatial object structure data;

[0111] The logic table construction unit is configured to construct a spatial object logic table according to the spatial object structure data based on the knowledge graph.

[0112] In some embodiments of the present application, the unit object data processing module 220 includes a unit object data extraction unit, an initial time series model construction unit, and a time series model update unit;

[0113] The unit object data extraction unit is configured to extract the unit object data of the archive data in chronological order based on semantic matching according to the spatial object logic table;

[0114] The initial time series model construction unit is configured to construct a unit object initial time series data model according to the unit object data;

[0115] The time series model update unit is configured to update the unit object initial time series data model based on the correlation analysis technology in combination with the time series changes of each unit object in the unit object data to obtain a unit object time series data model.

[0116] In some embodiments of the present application, the project object data processing module 230 includes a project object data extraction unit, a project data division refinement unit, and a project task list construction unit;

[0117] The project object data extraction unit is used to extract the project object data of the archive data according to the unit object time series data model; wherein the project object data includes the initial division data of the project phase and the project division of labor information;

[0118] The project data division and refinement unit is used to divide and refine the initial project phase division data based on topic modeling to obtain project phase division data;

[0119] The project task list construction unit is used to merge the project phase division data and the project division of labor information to construct a project phase task list.

[0120] In certain embodiments of the present application, the resource integration view construction module 240 includes an object set extraction unit, an object relationship model construction unit, an object logic data model construction unit, and a resource integration view construction unit;

[0121] The object set extraction unit is used to extract the object set of the archive data according to the project stage task list;

[0122] The object relationship model construction unit is used to construct an object relationship model based on the object set and in combination with the spatial object logic table;

[0123] The object logic data model construction unit is configured to construct an object logic data model based on the object relationship model, in combination with the unit object time series data model and the project phase task list;

[0124] The resource integration view construction unit is used to construct an archive data resource integration view based on semantic mapping and through the object logic data model.

[0125] This application first extracts the spatial object data of the file data to be sorted according to the geographical hierarchy division rules, and based on this, constructs a spatial object logic table using a knowledge graph, which can accurately extract the spatial objects necessary for the "three fonds" of the file through the geographical hierarchy division rules and the knowledge graph. Furthermore, based on the spatial object logic table, unit object data is extracted, and based on this, a unit object time series data model is constructed using correlation analysis technology, which can accurately extract the unit objects necessary for the "three fonds" of the file through correlation analysis technology. Furthermore, based on the unit object time series data model, project object data is extracted, and based on this, a project stage task list is constructed using topic modeling technology, which can accurately extract the project objects necessary for the "three fonds" of the file through topic modeling technology. Furthermore, based on the project stage task list, an object set is extracted, and combined with the construction of an integrated view of file data resources, it can ensure the completeness and accuracy of each element of the "three fonds" of the file. At the same time, through the interlocking extraction method of each element of the "three fonds" of the file, it can ensure the correctness of the connection between each element of the "three fonds" of the file, avoid the inaccuracy of the integrated file data caused by the mismatch of each element, and thus ensure the accuracy of the file data when completing the resource integration of the file data to be sorted according to the integrated view of file data resources.

[0126] It should be understood that the system provided by the embodiment of this application corresponds to the foregoing method. An integrated processing system for file data resources provided by the embodiment of this application can implement an integrated processing system for file data resources provided by any embodiment of this application.

[0127] Adaptively, the embodiment of this application also provides a computer device and a computer-readable storage medium.

[0128] The computer device includes: a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor;

[0129] Wherein, when the processor executes the computer program, it implements an integrated processing method for file data resources of this application.

[0130] The computer-readable storage medium stores multiple instructions, and the instructions are suitable for being loaded by the processor to execute an integrated processing method for file data resources of this application.

[0131] The above are partial embodiments of this application, which further elaborate on the purpose, technical solution, and beneficial effects of this application. It should be clear that the above partial embodiments of this application should not be construed as limitations on this application. In particular, for those skilled in the art, any changes, modifications, equivalent replacements, and variations made within the spirit and principle of this application should be included within the protection scope of this application.

Claims

1. A method for integrating and processing archival data resources, characterized in that, Including: Extract the spatial object data of the archive data to be sorted according to the preset geographical level division rules, and based on the knowledge graph, construct a spatial object logic table according to the spatial object data; Based on the spatial object logic table, extract the unit object data of the archive data, and based on the association analysis technology, construct a unit object time series data model according to the unit object data; According to the unit object time series data model, extract the project object data of the archive data, and based on the topic modeling technology, construct a project phase task list according to the project object data; According to the project phase task list, extract the object set of the archive data, and according to the object set, combine the spatial object logic table, the unit object time series data model and the project phase task list to construct an archive data resource integration view; According to the archive data resource integration view, complete the resource integration of the archive data to be sorted.

2. The method for integrating and processing archival data resources according to claim 1, wherein, The step of extracting the spatial object data of the archive data to be sorted according to the preset geographical level division rules, and based on the knowledge graph, constructing a spatial object logic table according to the spatial object data specifically includes: According to the geographical level division rules, extract the spatial object data of the archive data based on named entity recognition; Structurize the spatial object data based on semantic mapping to obtain spatial object structure data; According to the spatial object structure data, construct a spatial object logic table based on the knowledge graph.

3. A method for integrating and processing archival data resources according to claim 1, characterized in that, The step of extracting the unit object data of the archive data based on the spatial object logic table, and based on the association analysis technology, constructing a unit object time series data model according to the unit object data specifically includes: According to the spatial object logic table, extract the unit object data of the archive data in chronological order based on semantic matching; Construct a unit object initial time series data model according to the unit object data; Based on the association analysis technology, combine the changes of each unit object in the unit object data based on time series, and update the unit object initial time series data model to obtain a unit object time series data model.

4. A method for integrating and processing archival data resources according to claim 1, characterized in that, The step of extracting the project object data of the archive data according to the unit object time series data model, and based on the topic modeling technology, constructing a project phase task list according to the project object data specifically includes: According to the unit object time series data model, extract the project object data of the archive data; wherein, the project object data includes project phase initial division data and project division of labor information; Based on topic modeling, divide and refine the project phase initial division data to obtain project phase division data; Merge the project phase division data and the project division of labor information to construct a project phase task list.

5. A method for integrating and processing archival data resources according to claim 1, characterized in that The step of extracting the object set of the archive data according to the project phase task list, and according to the object set, combining the spatial object logic table, the unit object time series data model and the project phase task list to construct an archive data resource integration view specifically includes: According to the project phase task list, extract the object set of the archive data; Construct an object relationship model based on the object set and in combination with the spatial object logic table; Construct an object logic data model based on the object relationship model and in combination with the unit object time series data model and the project phase task list; Based on semantic mapping, construct an integrated view of archival data resources through the object logic data model.

6. An archival data resource integration and processing system, characterized in that, It includes a spatial object data processing module, a unit object data processing module, a project object data processing module, a resource integration view construction module, and an archival data resource integration module; The spatial object data processing module is used to extract the spatial object data of the archival data to be sorted according to the preset geographical level division rules, and construct a spatial object logic table based on the knowledge graph according to the spatial object data; The unit object data processing module is used to extract the spatial object data of the archival data to be sorted according to the preset geographical level division rules, and construct a spatial object logic table based on the knowledge graph according to the spatial object data; The project object data processing module is used to extract the project object data of the archival data according to the unit object time series data model, and construct a project phase task list based on the project object data by using the topic modeling technology; The resource integration view construction module is used to extract the object set of the archival data according to the project phase task list, and construct an integrated view of archival data resources according to the object set, in combination with the spatial object logic table, the unit object time series data model, and the project phase task list; The archival data resource integration module is used to complete the resource integration of the archival data to be sorted according to the integrated view of archival data resources.

7. The archival data resource integration and processing system according to claim 6, wherein The spatial object data processing module includes a spatial object data extraction unit, a data structuring unit, and a logic table construction unit; The spatial object data extraction unit is used to extract the spatial object data of the archival data based on named entity recognition according to the geographical level division rules; The data structuring unit is used to structure the spatial object data based on semantic mapping to obtain spatial object structured data; The logic table construction unit is used to construct a spatial object logic table based on the spatial object structured data and the knowledge graph.

8. An archival data resource integration and processing system according to claim 6, wherein, The unit object data processing module includes a unit object data extraction unit, an initial time series model construction unit, and a time series model update unit; The unit object data extraction unit is used to extract the unit object data of the archival data in chronological order based on semantic matching according to the spatial object logic table; The initial time series model construction unit is used to construct a unit object initial time series data model according to the unit object data; The time series model update unit is used to update the unit object initial time series data model based on the correlation analysis technology in combination with the time series changes of each unit object in the unit object data to obtain a unit object time series data model.

9. A file data resource integration and processing system according to claim 6, characterized in that, The project object data processing module includes a project object data extraction unit, a project data division refinement unit, and a project task list construction unit; The project object data extraction unit is used to extract the project object data of the file data according to the unit object time series data model; wherein, the project object data includes the initial project stage division data and the project division of labor information; The project data division and refinement unit is used to divide and refine the initial project stage division data based on topic modeling to obtain the project stage division data; The project task list construction unit is used to merge the project stage division data and the project division of labor information to construct a project stage task list.

10. A file data resource integration and processing system according to claim 6, characterized in that, The resource integration view construction module includes an object set extraction unit, an object relationship model construction unit, an object logical data model construction unit, and a resource integration view construction unit; The object set extraction unit is used to extract the object set of the file data according to the project stage task list; The object relationship model construction unit is used to construct an object relationship model according to the object set in combination with the spatial object logical table; The object logical data model construction unit is used to construct an object logical data model according to the object relationship model in combination with the unit object time series data model and the project stage task list; The resource integration view construction unit is used to construct a file data resource integration view based on semantic mapping through the object logical data model.

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