32 results about "Type relation" patented technology

A system and method for managing personal information with increased efficiency and flexibility. In one embodiment, the system includes a group website tier made up of a plurality of group website objects, a group tier made up of a plurality of group objects, a user tier made up of a plurality of user objects, a first set of relationships that define relationships between the group website objects and the group objects, and a second set of relationships that define relationships between the group objects and the user objects. Furthermore, the system preferably is configured such that each of the objects may be uniquely identified from objects on the same tier and objects on different tiers. Additionally, the first set of relationships may include a first type of relationships that define which group objects have access to each of the plurality of group websites, and a second type of relationships that define which group objects appear as content for each of the plurality of group website objects.

The invention discloses a type extracting system for a professional literature intellectual entity. The system comprises a user inquiring and feedback interface, an online crawler and management module, an intellectual entity identification module, an intellectual entity type extracting module, a type label propagation and index database establishment module, an intellectual entity type relational graph model establishment module, and a data visualization module. The system provided by the invention can be used for extracting the type of the entity according to key words of the entity searched by a user, and presenting a type relation and a hierarchical relation between intellectual entities and a timing sequence evolution mode in a visualization manner. Furthermore, the invention further provides a type extracting method for the professional literature intellectual entity. With the adoption of the method disclosed by the invention, type label extraction can be effectively carried out on the intellectual entities in professional fields; the problem of limitation and subjectivity in manual type predefinition can be solved; and the structured realization of a professional knowledge network is easily realized.

A method for knowledge representation and management is disclosed which has particular but not exclusive application in knowledge recovery techniques. To help with program understanding, software maintainers use computer aided reverse engineering (CARE) tools which utilize techniques such as syntax analysis, structural analysis, and domain knowledge base analysis (DKBA). Known DKBA methods are complex since the domain knowledge recovery relies on the use of knowledge at different layers while some elements of the knowledge at domain level is not used at all. In the disclosed method for representing knowledge in a knowledge base, the knowledge is represented by a set of one or more concepts and by one or more first type of relationships between two or more or said concepts. The method comprises dividing the set of concepts into a plurality of sub-sets, each sub-set comprising a set of concepts related to a sub-set of the knowledge; dividing the relationships among the sub-sets of concepts; and providing a further set comprising all the concepts along with a second type of relationship that provides an association between each concept in the further set of concepts and one or more of the sub-sets of concepts and relationships.

A process for developing Enterprise Architectures that results in a dramatic reduction in the complexity of the architecture and, therefore, in the cost of developing, implementing, and maintaining that architecture. The process is novel in that it is based on a mathematical model for complexity and how complexity can be reduced. The process for constructing enterprise architectures can also validate the architecture before it is implemented. The process begins by partitioning the Enterprise Architecture into autonomous subunits using the equivalence relation synergistic. It then uses type relations between these autonomous subunits to identify redundancies which can be simplified through consolidation. Once these autonomous subunits have been simplified as much as possible through consolidation, outsourcing, or functionality reduction, they are prioritized through risk / value analysis pictorially represented as Risk / Value Graphs.

According to a present invention embodiment, a system determines a relationship between source and target database tables, and includes a computer system including at least one processor. Potential pivot keys of the target database table are determined, and maps are created for each potential pivot key between the database tables based on distinct values. Transformations for each map are generated that enable target data to be produced from source data. The transformations for each potential pivot key are analyzed and the potential pivot key with the transformations that generate the greatest amount of matching data is selected as the resulting pivot key. The database table columns corresponding to the resulting pivot key are determined to be associated by the relationship. Embodiments of the present invention further include a method and computer program product for determining a relationship between source and target database tables in substantially the same manner described above.

A general model is provided which provides collective factorization on related matrices, for multi-type relational data clustering. The model is applicable to relational data with various structures. Under this model, a spectral relational clustering algorithm is provided to cluster multiple types of interrelated data objects simultaneously. The algorithm iteratively embeds each type of data objects into low dimensional spaces and benefits from the interactions among the hidden structures of different types of data objects.

The invention provides a missile weapon system basic level maintenance modeling method based on Petri network. The missile weapon system basic level maintenance modeling method based on the Petri network comprises the following steps that Step 1, according to the actual utilization of a missile weapon system and the workflow of the basic level maintenance, the basic level maintenance work is divided into maintenance events, maintenance actions and maintenance operations according to hierarchy, each maintenance operation is analyzed in a logical relation and a temporal relation, the logical relation comprises a definitive type relation and a probabilistic type relation; Step 2, based on a logic sequence and a time sequence among the maintenance operations, modeling is conducted by using the Petri network; Step 3, a model A which is built in the maintenance actions of the missile weapon system basic level maintenance work by using the Petri network is simplified. By the modeling of the maintenance actions of the definitive type adjacency relation and the probabilistic type adjacency relation, the required maintenance action time data are acquired and maintenance resource quantity is confirmed, and the missile weapon system basic level maintenance support work can be assured of going smoothly.

The invention discloses a knowledge graph embedding method based on attribute aggregation and a storage medium thereof. The method comprises the following steps: aggregating attributes in a knowledgegraph and converting the aggregated attributes into entities; all positive examples are formed by utilizing triple groups existing in a knowledge graph, a positive example training data set O+ is formed, a value domain class inverse example and a relation class inverse example are constructed, and an inverse example training data set O- is formed; and establishing a knowledge graph embedded objective function, and solving the objective function by using the training data formed in the previous step. According to the method, attributes are converted into entities through attribute aggregation,and then the knowledge graph is embedded, so that loss of attribute information in a knowledge graph embedding result is prevented. According to the method, a value domain type inverse case construction method based on a relation value domain and a relation type inverse case construction method based on a type relation domain are adopted, so that the probability of occurrence of false inverse cases is reduced, the quality of a training sample is improved, and the consistency of a knowledge graph embedding result and a knowledge graph real structure is indirectly improved.

The invention provides a method and a system for realizing service logic processing based on strongly-typed relation mapping. A relation mapping execute statement and a syntax parsing execute statement are constructed by a strongly-typed language, the relation mapping execute statement finishes mapping a user-oriented service visual object and a related service request instruction into a server-oriented service processing expression, and the syntax parsing execute statement finishes parsing the server-oriented service processing expression into a database-oriented database language access instruction, so that a service logic layer and a data access layer in a service logic processing system can be independently developed, learning cost and difficulty in the development of the service logic processing system are decreased, code error detection operation can be facilitated at the same time in a development compiling process, development efficiency is improved, and a development cycle is shortened; and moreover, the strongly-typed language execute statements are used for realizing relation mapping and syntax parsing, so that the sensitivity and stability of the service logic processing system are improved.

The method includes following steps. Code flow is recovered by using a selected reference electrical level as decision electrical level so as to obtain reference code flow. Comparing the code flow with other code flows recovered under variant decision electrical levels obtains 'U' type relation curve between first error rate and decision electrical level, and the error rate at lowest point of 'U' type relation curve is deduced. Continuing to change reference electrical level obtains multiple error rates at lowest point of 'U' type relation curve, and the lowest error rate is found out from these error rates. Value of Q factor is deduced from the lowest error rate. Since recovered data as reference code flow from reference electrical level, thus, it is not needed to prepare a standard signal as reference code flow. In this way, difficulty of monitoring on site is solved, making test more convenient.

The invention provides technology to generate a graphical depiction on a video display device (VDD) for a stream of packets. Such a graphical depiction can take the form of a matrix of geometric shapes, e.g., squares, each geometric shape representing a packet. Each geometric shape can have an appearance that is indicative of what type the corresponding packet is. Colors can be assigned to the geometric shapes to denote the types of the corresponding packets, respectively. Such technology can also generate a graphical depiction on the VDD of a legend explaining color and packet type relations. Each color in the legend can be depicted in the form of the geometric shape, and each geometric shape can be operable as a pointing-device-clickable button so that, in response to a user clicking on one of the geometric shapes, an interface can be generated by which the color assigned to the geometric shape can be changed by the user.

Embodiments of the invention provide a method and a device for obtaining a type relation. On one hand, the method provided by the embodiments of the invention comprises the following steps: obtaining entireties and description texts of the entireties to obtain types corresponding to the entireties, and generating the description text of each type according to the description texts of the entities corresponding to each type; and then, extracting M groups of types conforming to the specified type relation from the description text of each type, wherein M is a positive integer. Therefore, the method and the device in the technical scheme provided by the embodiments of the invention can be used for automatically obtaining the relation of the types of the entities, improving the efficiency of obtaining the relation of the types of the entities and reducing the cost of obtaining the relation of the types of the entities.

The invention discloses a method and system for classifying and counting logs in real time based on a rule engine, and belongs to the technical field of log statistics. The invention discloses a method for classifying and counting logs in real time based on a rule engine. Rule engine is introduced into the method, log types, log attribute, log type relation maintenance and log report are customized, logs are classified during log collection according to engine rules, different attributes are automatically added for different log types to serve as statistical indexes, and the log types and theindexes are selected for statistics and display through the custom log report. The method for classifying and counting the logs in real time based on the rule engine is simple in configuration, highin expandability and suitable for different statistical scenes, a more accurate data source can be provided for log statistics, it is avoided that the query range is too large, and good application and popularization value is achieved.

The invention discloses a data retrieval method and device and a server, and belongs to the field of data retrieval. The method comprises the steps of determining an identifier of a relational user according to an identifier of a retrieval user; inquiring an identifier of a data object corresponding to the relational user according to the identifier of the relational user; retrieving a target object according to the inquired identifier of the data object corresponding to the relational user; outputting the target object to be used as a retrieval result. According to the data retrieval method, the identifier of the relational user with the specific type relation with the retrieval user is determined, the identifier of the data object corresponding to the relational user is inquired, and the target object is retrieved according to the inquired identifier of the data object corresponding to the relational user, so that the problem that in the prior art, when a network community comprises a large number of data objects of a keyword, a server needs to consume a large number of processing resources and bandwidth resources when outputting the retrieval result is solved, and the purpose of improving the system performance is achieved.

A process for developing Enterprise Architectures that results in a dramatic reduction in the complexity of the architecture and, therefore, in the cost of developing, implementing, and maintaining that architecture. The process is novel in that it is based on a mathematical model for complexity and how complexity can be reduced. The process for constructing enterprise architectures can also validate the architecture before it is implemented. The process begins by partitioning the Enterprise Architecture into autonomous subunits using the equivalence relation synergistic. It then uses type relations between these autonomous subunits to identify redundancies which can be simplified through consolidation. Once these autonomous subunits have been simplified as much as possible through consolidation, outsourcing, or functionality reduction, they are prioritized through risk / value analysis pictorially represented as Risk / Value Graphs.

The invention provides a word segmentation method and a terminal device based on machine learning. The method includes obtaining text data after manual segmentation; judging a character type for any character in the text data; according to the type of the character, the type of a first preset number of characters adjacent to and before the character in the text data, the type of a second preset number of characters adjacent to and after the character in the text data, obtaining a feature vector of the character, and obtaining a training set; construct word segmentation model and train word segmentation model through training set; According to the trained word segmentation model, the text to be processed is segmented. The invention constructs the feature vector according to the type relationship between the character and the context character, and has better adaptability for word segmentation of different texts, thereby improving the precision of word segmentation.

A method and system is provided for computing an approximation of the results of a query. The approximation represents a superset of all possible results, by computing a set of records of types (as opposed to a set of records of values, which is the normal result of a query). This is different from conventional systems, which typically infer types for each field individually. For each record of types, one may also keep track of equalities of fields to improve the precision of the approximation. The approximation can be used to detect erroneous parts of queries that always return an empty result, regardless of the contents of the data source. Furthermore, the same approximation is also useful in performing optimizations: first, by eliminating parts of procedure calls that are guaranteed to be irrelevant to the calling context, and second, by eliminating unnecessary type tests in the query.

The invention discloses a domain ontology construction method oriented to intelligent application. Firstly, multi-domain data related to intelligent application is obtained. Identify and refine the requirements of intelligent application, and construct ontology-oriented intelligent application requirements analysis model; Define the concepts and their attributes in ontology, the relationships of each type, create instances, and encode them formally; Then Jena is used to implement domain ontology-based reasoning to complete the missing information. Secondly, the architecture of ontology is evaluated by using multi-dimensional quantitative index, and whether it is returned or not is judged to modify ontology. Finally, the support degree of ontology to intelligent application requirements isevaluated, and the architecture is updated dynamically to respond to the changes of application requirements until the ontology can meet the application requirements. The invention adopts the circulating development structure, emphasizes the interaction between the intelligent application requirements and the cross-domain ontology construction in the whole life cycle of the ontology, is suitable for representing the cross-domain knowledge association oriented to the intelligent application, and solves the problem that the existing ontology construction method is insufficient to support the intelligent application.

A system for establishing a client / server type relationship in a hybrid peer to peer network connects a first peer (20a) to a second peer (20d) implementing a predetermined function (F) in that peer to peer network. To this end, the first peer (20a) has a superpeer (10a) capable of establishing a list (LF) of the active peers (20d, 20e) implementing the function (F) in the service of the peers of the network and of sending that list (LF) to its peer (20a). The first peer (20a) can then establish a client / server type relationship with a second peer (20d) selected in that list (LF).

The invention relates to a method for generating a relation calculation model and a method for estimating a relation between entity pairs. The method for generating the relation calculation model comprises the steps of generating a semantic graph; selecting a node pair with a first type relation and a node pair without the first type relation from the semantic graph as a first type training samplepair; and training a first type relation weight parameter of an edge included in a path between two nodes of the first type training sample pair according to the first type training sample pair, wherein the relation calculation model comprises the semantic graph and the first type relation weight parameter. By use of the method for generating the relation calculation model and the method for estimating the relation between the entity pairs, the relation calculation model can be reliably established, the relation degree between the entity pairs can be accurately calculated according to the model and the relation between the entity pairs is further estimated.

According to a present invention embodiment, a system determines a relationship between source and target database tables, and includes a computer system including at least one processor. Potential pivot keys of the target database table are determined, and maps are created for each potential pivot key between the database tables based on distinct values. Transformations for each map are generated that enable target data to be produced from source data. The transformations for each potential pivot key are analyzed and the potential pivot key with the transformations that generate the greatest amount of matching data is selected as the resulting pivot key. The database table columns corresponding to the resulting pivot key are determined to be associated by the relationship. Embodiments of the present invention further include a method and computer program product for determining a relationship between source and target database tables in substantially the same manner described above.

The invention provides a logic component correlation path generation method and system. The method comprises the steps of segmenting a canvas into M*N cells in advance, and recording picture elementsin the cells by the cells; placing multiple functional block graphs used for representing logic components in the canvas, and when a logic relationship between any two functional block graphs is configured, clicking an output pin of one functional block graph and clicking an input pin of the other functional block graph; automatically calculating out and judging a type relationship between the output pin and the input pin by a background, generating an inflection point quantity of a connection line, and determining the position of each inflection point cell; and after each inflection point cell generates an inflection point picture element, enabling the cell between the two adjacent inflection point cells to generate a straight line picture element, wherein the overall connection line of all the inflection point picture elements and the straight line picture elements is namely a logic component correlation path. Through the method and the system, an engineer only needs to specify starting and terminating ends of the path; and the optimal path is automatically generated through a path algorithm.

A method and system for ranking objects based on relationships with objects of a different object type is provided. The ranking system defines an equation for each attribute of each type of object. The equations define the attribute values and are based on relationships between the attribute and the attributes associated with the same type of object and different types of objects. The ranking system iteratively calculates the attribute values for the objects using the equations until the attribute values converge on a solution. The ranking system then ranks objects based on attribute values.

The invention provides a missile weapon system basic level maintenance modeling method based on Petri network. The missile weapon system basic level maintenance modeling method based on the Petri network comprises the following steps that Step 1, according to the actual utilization of a missile weapon system and the workflow of the basic level maintenance, the basic level maintenance work is divided into maintenance events, maintenance actions and maintenance operations according to hierarchy, each maintenance operation is analyzed in a logical relation and a temporal relation, the logical relation comprises a definitive type relation and a probabilistic type relation; Step 2, based on a logic sequence and a time sequence among the maintenance operations, modeling is conducted by using the Petri network; Step 3, a model A which is built in the maintenance actions of the missile weapon system basic level maintenance work by using the Petri network is simplified. By the modeling of the maintenance actions of the definitive type adjacency relation and the probabilistic type adjacency relation, the required maintenance action time data are acquired and maintenance resource quantity is confirmed, and the missile weapon system basic level maintenance support work can be assured of going smoothly.

A system for establishing a client / server type relationship in a hybrid peer to peer network connects a first peer (20a) to a second peer (20d) implementing a predetermined function (F) in that peer to peer network. To this end, the first peer (20a) has a superpeer (10a) capable of establishing a list (LF) of the active peers (20d, 20e) implementing the function (F) in the service of the peers of the network and of sending that list (LF) to its peer (20a). The first peer (20a) can then establish a client / server type relationship with a second peer (20d) selected in that list (LF).

The invention discloses a seat cushion sliding type relation regulation sofa and relates to the technical field of articles for daily use. The seat cushion sliding type relation regulation sofa comprises a sofa body, wherein the sofa body comprises a backrest, an armrest, a seat cushion, a foot cushion and a fixed cushion, wherein one end of the armrest is fixedly connected with the lower side ofone end of the backrest; one end of the seat cushion is fixedly connected with a west side of one end of the backrest; the lower end of the armrest is fixedly connected with the upper end of the seatcushion. According to the seat cushion sliding type relation regulation sofa disclosed by the invention, on one hand, a second sliding groove is located in the seat cushion and a second sliding blockis located in the second sliding groove, so that the fixed cushion drives the foot cushion to slide in the seat cushion; the foot cushion slides in the seat cushion, so that the rest of other people on the sofa is not influenced when the foot cushion is moved; on the other hand, when the foot cushion is not used, the foot cushion can slide to the lower side of the seat cushion to be collected, sothat the space is saved and ash does not fall down to the upper side of the foot cushion at the same time; secondly, two third sliding blocks are arranged so that the sliding of the second sliding block is more stable and the second sliding block is not easily clamped in a sliding process.

The method includes following steps. Code flow is recovered by using a selected reference electrical level as decision electrical level so as to obtain reference code flow. Comparing the code flow with other code flows recovered under variant decision electrical levels obtains 'U' type relation curve between first error rate and decision electrical level, and the error rate at lowest point of 'U' type relation curve is deduced. Continuing to change reference electrical level obtains multiple error rates at lowest point of 'U' type relation curve, and the lowest error rate is found out from these error rates. Value of Q factor is deduced from the lowest error rate. Since recovered data as reference code flow from reference electrical level, thus, it is not needed to prepare a standard signal as reference code flow. In this way, difficulty of monitoring on site is solved, making test more convenient.

The invention discloses a data retrieval method and device and a server, and belongs to the field of data retrieval. The method comprises the steps of determining an identifier of a relational user according to an identifier of a retrieval user; inquiring an identifier of a data object corresponding to the relational user according to the identifier of the relational user; retrieving a target object according to the inquired identifier of the data object corresponding to the relational user; outputting the target object to be used as a retrieval result. According to the data retrieval method, the identifier of the relational user with the specific type relation with the retrieval user is determined, the identifier of the data object corresponding to the relational user is inquired, and the target object is retrieved according to the inquired identifier of the data object corresponding to the relational user, so that the problem that in the prior art, when a network community comprises a large number of data objects of a keyword, a server needs to consume a large number of processing resources and bandwidth resources when outputting the retrieval result is solved, and the purpose of improving the system performance is achieved.

Disclosed is a distribution simulation supporting environment implementation method based on multilayer distributed service. A distribution simulation supporting environment adopts a center-layer service group as a core and outwards extends via the center-layer service group with multilayer tree-type relation, a fully-connected peer-to-peer network is arranged in each service group, and network efficiency is optimized and fault tolerance is improved in each group by a network load balance algorithm for processing duration on the basis of information. A bottom layer of the supporting environment consists of simulation members, and a central layer and various intermediate layers can also be directly connected with the simulation members. Each simulation member is created on the basis of a local server and consists of reusable modules. Only request information with an action scope and a period attribute needs to be proposed, is in fusion processing via the supporting environment and is issued to the various simulation members, and optimal request management and data distribution management are realized. By the aid of the method, the fault tolerance in large-scale distributed simulation and network balancing capacity are strengthened, the bottleneck affecting the efficiency of a system is eliminated, and reusability of the simulation members is enhanced.