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85 results about "Semantic data model" patented technology
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Semantic data model(SDM) is a high-level semantics-based database description and structuring formalism (database model) for databases. This database model is designed to capture more of the meaning of an application environment than is possible with contemporary database models. An SDM specification describes a database in terms of the kinds of entities that exist in the application environment, the classifications and groupings of those entities, and the structural interconnections among them. SDM provides a collection of high-level modeling primitives to capture the semantics of an application environment. By accommodating derived information in a database structural specification, SDM allows the same information to be viewed in several ways; this makes it possible to directly accommodate the variety of needs and processing requirements typically present in database applications. The design of the present SDM is based on our experience in using a preliminary version of it. SDM is designed to enhance the effectiveness and usability of database systems. An SDM database description can serve as a formal specification and documentation tool for a database; it can provide a basis for supporting a variety of powerful user interface facilities, it can serve as a conceptual database model in the database design process; and, it can be used as the database model for a new kind of database management system.
Conceptual factoring and unification of graphs representing semantic models
InactiveUS6847979B2Easily and efficiently producedData processing applicationsDrawing from basic elementsAlgorithmPresentation semantics
Techniques for factoring one or more source graphs into a composite graph containing nodes representing analogous elements of the source graphs and a variability graph containing nodes representing differences in the source graphs. The composite graph is made by taking analogous input trees from the source graphs and traversing the trees from top to bottom looking for nodes in each tree at each level that are analogous to the nodes at that level in the other input trees. The sets of analogous nodes are found by first automatically correlating the nodes in the level currently being examined. Correlation may, for example, be based on similar values of a property of the nodes being correlated. Representations of the sets of correlated nodes are then displayed to a user, who indicates which sets of correlated nodes are in fact analogous. The user may also indicate that the nodes in a set of correlated nodes are not analogous or that nodes that were found by the automatic correlation not to be autonomous are in fact. The analogous nodes are allocated to a corresponding node at a corresponding level in the composite graph; the other nodes are allocated to a set of anomalous nodes. One application for the techniques is managing graphs which are models of catalogs of items.
Owner:POPPET INT
Semantic packager
InactiveUS20090282068A1Avoiding file name conflictsEliminate structureSpecial data processing applicationsDocument management systemsData fileSemantics
A system includes a storage medium having stored instructions thereon that when executed by a machine result in the following: a semantic modeler component to define relationships between data files in a semantic model; a viewer component coupled to the semantic modeler component to view the semantic model; and a packager component coupled to the semantic modeler component to export the semantic model and the data files.
Owner:RAYTHEON CO
Method for semantic matching, learning method for semantic matching model, and server
InactiveCN108932342AImprove accuracySemantic analysisSpecial data processing applicationsAlgorithmSemantic matching
Embodiments of the invention disclose a method for semantic matching. The method comprises: receiving a to-be-matched first statement; inputting the first statement as a word segmentation model, through the word segmentation model, outputting a first word sequence after word segmentation is performed on the first statement; converting the first word sequence to a first word vector sequence; inputting the first word vector sequence to a twinborn bidirectional long short-term memory LSTM network, and outputting a second statement matched with the first statement through the twinborn bidirectional long short-term memory LSTM network. An embodiment also provides a semantic matching server, used for improving accuracy of semantic matching.
Owner:TENCENT TECH (SHENZHEN) CO LTD
Quality assurance tools for use with source code and a semantic model
InactiveUS20110283260A1Assured correctnessError detection/correctionSpecific program execution arrangementsSoftware systemQuality assurance
Tools that provide quality assurance to improve the efficiency of developing software using a Finite Input Output Semantic Model (FIOSM, or herein referred to as a Semantic Model (SM) or Semantic Model Program) and automated reasoning services compatible with a semantic model. Exemplary embodiments of the tools allow a user to validate a semantic model and its related source software system and executable, while providing the enormous benefit of automating the quality assurance process. Instead of rigorous manual analysis of code to determine where a problem resides, the tools, through their relationship with the semantic model, visualize for the user on a display or in another tangible media where in the source software system a problem(s) resides.
Owner:PHASE CHANGE SOFTWARE
Data security in a semantic data model
InactiveUS20060149739A1Simple definitionComplete security measuresDigital data processing detailsComputer security arrangementsGranularitySemantic search
A data dependency path calculator for a semantic search engine is provided. A body of semantically related data is modeled according to a semantic data model. A user is presented a list of data elements from which they may select desired data elements. The system automatically calculates all of the possible paths through the database that may be used to retrieve meaningful data based on the selected data elements. The available data dependency paths are returned to the user for selection. The system further provides a type of data permission that allows restricted data elements to be used as a pass-through data element for relating, connecting and retrieving non-restricted data. Thus, a user can use restricted data to create data dependency paths to retrieve meaningful data. The system further provides for defining access privileges for all levels of data structures, allowing data to be secured with an increased level of granularity than previously possible.
Owner:METADATA
Semantic model of everything recorded with ur-url combination identity-identifier-addressing-indexing method, means, and apparatus
InactiveUS20130204872A1Easy to integrateEasy to reuseDigital data processing detailsDatabase distribution/replicationAlgorithmUniform resource locator
A computer program product embodied on a non-transitory computer readable storage medium, comprising non-transitory computer executable program code configured to perform the steps of: receiving a representation of an unlabeled event; labeling the unlabeled event according to a unitary relative event ontology; and storing the labeled event in the computer readable storage medium. The unitary relative event ontology can comprise an information description vector comprising a plurality of ontological primitives, and the plurality of ontological primitives can comprise a point description element, a reference-body description element, an observer description element, a position description element, a scene description element, and a specification description element.
Owner:RUNCHEY MARGARET
Massively scalable reasoning architecture
ActiveUS20110093430A1Well formedDigital data information retrievalChaos modelsData storingBusiness policies
Techniques for reasoning data are disclosed. The techniques may include storing data in a data store which may be a semantic data store. A plurality of reasoning modules are used to reason the data in order to detect violations of one or more business policies. The reasoning modules may include semantic reasoning modules and / or pattern-based reasoning modules. Results of reasoning the data may be displayed to one or more users.
Owner:ORACLE INT CORP
Convolutional neural network-based document automatic question and answer system construction method
ActiveCN108052588AIncrease contributionSave labor costNeural architecturesSpecial data processing applicationsSemantic matchingQuestions and answers
The invention discloses a convolutional neural network-based document automatic question and answer system construction method. The method comprises the following steps of: 1, constructing a theme document library; 2, constructing a word vector model; 3, carrying out theme matching; 4, constructing a word vector matrix; 5, carrying out semantic matching on the basis of a semantic model of a convolutional neural network, wherein the semantic model of the convolutional neural network is divided into three layers, the first layer is a convolutional neural network layer, the second layer is an attention layer and the third layer is a full connection layer; and 6, an answer selection process: selecting a matched answer. According to the method, a synonym dictionary does not need to be manuallyconstructed so that plenty of manpower and time cost are saved, semantic meanings of word contexts can be purposely sampled in a model training process, and an attention mechanism is added in the network so that the contribution degrees, to semantic meanings of whole sentences, of certain representative words can be enhanced.
Owner:ZHEJIANG UNIV CITY COLLEGE
Camera and robot control system based on semantic model and automatic adaptation method thereof
InactiveCN107598928AIncrease flexibilitySave time at workProgramme-controlled manipulatorCamera controlWork time
The invention relates to a camera and robot control system based on a semantic model and an automatic adaptation method thereof. According to the method, a semantic model server-side module and a semantic model client-side module are built in a robot controller and a camera controller respectively, and the automatic adaptation of the industrial camera and the robot control system is realized through semantic modeling of the semantic model server-side module and the analysis of the semantic model client-side module. Under the condition that the function of the camera is upgraded and changed, the robot controller does not need to stop working to carry out programming on the controller again to modify the function and the command of a camera, the working flexibility of a robot system is improved, the working time is saved, and plug-and-play is achieved.
Owner:SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI +1
Defining a data dependency path through a body of related data
InactiveUS7076493B2Simple definitionData processing applicationsDigital data processing detailsSemantic searchData element
Owner:METADATA
Rapid application development based on a data dependency path through a body of related data
InactiveUS20060218166A1Simple definitionData processing applicationsDigital data processing detailsSemantic searchData element
Owner:METADATA
Natural language knowledge acquisition method based on semantic matching driving
InactiveCN102945230ASpecial data processing applicationsSemantic matchingKnowledge acquisition method
The utility model discloses a natural language knowledge acquisition method based on semantic matching driving. The natural language knowledge acquisition method comprises the following steps: (1) defining a semantic model for natural language processing; (2) defining a representing method of lexical semantic; (3) defining semantic matching relations among the lexicons; (4) defining a processing method of statements; and (5) transforming analysis results into knowledge points. According to the natural language knowledge acquisition method based on the semantic matching driving, an analysis scheme better accordant with semantic logics can be selected as the final analysis result from multiple grammatical analysis schemes according to semantic matching values by adopting semantic matching information to cooperate with common syntax rules in a small quantity of natural languages. Through the adoption of the method, the natural language statement analysis can be carried out and knowledge contained in the statements of the natural languages can be acquired. Experiments indicate that the method has higher feasibility.
Owner:ANYANG NORMAL UNIV
Semantic model based text message extraction method and device
ActiveCN107608949AReduce workloadReduce generation difficultySpecial data processing applicationsPart of speechWorkload
The invention discloses a semantic model based text message extraction method and device. The method comprises the steps that to-be-extracted text messages are obtained; the to-be-extracted text messages are subjected to message extraction according to extract expressions and semantic models corresponding to the extract expressions, and target messages are obtained, wherein the extract expressionscomprise a part of speech extract expression, a time extract expression and / or a rule extract expression, the semantic model corresponding to the part of speech extract expression is a statistical semantic model, the semantic model corresponding to the time extract expression is a time semantic conceptual model, and the semantic model corresponding to the rule extract expression is a rule semantic model. Accordingly, the corresponding extract expressions and the semantic models are set according to different extract requirements, message extraction is conducted on the to-be-extracted text messages, workers do not need to compile complex regular expressions one by one, the generation difficulty is lowered, the matching flexibility is improved, and therefore the method can not only improvethe extract efficiency but also lower the workload of the workers.
Owner:ZHONGKE DINGFU BEIJING TECH DEV
Short text classification method based on semantic graphs
InactiveCN102591988AAvoid manual finishingReduce labor overheadSpecial data processing applicationsClassification methodsGraph model
The invention discloses a short text classification method based on semantic graphs, which is characterized by including the steps: A, constructing a semantic graph model for each piece of text information, and combining all semantic graph models; B, comparing similarity level among different texts according to the semantic graph models and by means of a similarity computing method; and C, according to the text similarity level, classifying the texts by the aid of a text semantic graph classifier. The short text classification method based on the semantic graphs has the advantages that semantic connotations of documents can be highlighted to a maximum degree by using the graph models to represent the texts, latent semantic information and theme features in the texts can be accurately described to a great extent by the aid of the TSG (text semantic graph) models constructed by the method, and the TSG classification method can be more reliable and efficient in use as compared with other classification methods by means of the feature, so that human cost is greatly reduced, artificial arrangement of the text information is avoided to a great extent, and the text information is automatically organized by a computer.
Owner:XIDIAN UNIV
Semantic model for insurance software components
A computer implemented method and system for insurance enterprise management and data acquisition and communication has an enterprise service bus and semantic model for communicating across different insurance businesses to retrieve data common to one service. The system and method utilizes a semantic model under a service oriented architecture which facilitates an insurance administration suite that supports user configuration of modules for use across a plurality of insurance business functions and lines. The integrated insurance administration suite supports insurance workflow management by allowing a user to configure modules to meet the needs of an insurance carrier. Insurance administration suite modules have functionality for policy, claims, billing, collections, financials, distribution, business intelligence, and reinsurance. Modules may be implemented as an integrated, enterprise solution for all lines of business that a carrier handles. The configuration features and functionality allows the entire suite to be adapted to meet the needs of the enterprise.
Owner:SAPIENS AMERICAS CORP
Method and system for querying an applied data model
Systems and methods for a generic data model for the representation of an arbitrarily complex environment are disclosed. These systems and methods allow the representation of any logical or physical entity and the associations and dependencies between these entities. Components may be used to represent the entities while relationships may be used to represent the associations and dependencies between the entities. A typing system may be utilized in conjunction with a generic data model to define a hierarchy of components and relationships for use with a particular category of environments. The data structures associated with a generic data model may be stored utilizing a table schema which does not change with the addition of new data structures or types of data structures. Applied data models created from these generic data models may be searched utilizing a query language which allows efficient searching of the applied data model, and structuring of the concomitant results.
Owner:SQUARE 1 BANK
Semantic model based targeted search advertising
Campaign creation systems and methods for building semantic model based targeted search advertising campaigns in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a method of automatically generating adgroups includes obtaining source data describing a plurality of landing pages, obtaining a list of initial keywords, building a semantic model based on the source data and the initial list of keywords, mapping keywords to relevant offers based on the semantic model, automatically generating one or more anticipated creatives, automatically generating at least one anticipated creative based upon the attributes of at least one relevant offer, automatically generating adgroups using at least one of the one or more anticipated creatives, including at least one anticipated creative based upon the attributes of at least one relevant offer in the adgroup associated with the relevant offer, and deploying the adgroups to a search engine provider.
Owner:CRITEO
Urban rail traffic station data validation method
InactiveCN103440349AGuaranteed validityGuaranteed availabilitySpecial data processing applicationsData validationData modeling
The invention discloses an urban rail traffic station data validation method which comprises the following steps of: (1) creating station data models by using a data modeling tool according to the station data model design principle; (2) compiling rule bases corresponding to the station data models by using scripting language according to the characteristics of the station data models and loading the station data models into a station data model validation tool; (3) selecting corresponding rules for the different models and validating the station data so as to generate a validation report; and (4) performing iterative validation on the data according to the validation report until the data is completely accurate. According to the whole method, the data is validated more strictly and efficiently from the syntax to the semantics, so that the data validity is effectively ensured; the working efficiency is improved; and the working progress is accelerated. Thus, the usability, the security and the reliability of the system data level are ensured.
Owner:NARI TECH CO LTD
A Recognition Method of Remote Sensing Artificial Objects Based on Object Semantic Tree Model
ActiveCN102279929AImprove expression accuracyImprove robustnessImage analysisCharacter and pattern recognitionSemantic treeObject based
The invention discloses a remote-sensing artificial ground object identifying method based on a semantic tree model of an object. The remote-sensing artificial ground object identifying method comprises the steps of: establishing a remote-sensing ground object representative image set; splitting images in the remote-sensing ground object representative image set by adopting a multi-scale method, and obtaining an object tree of each image; modeling for each node of each object tree by adopting an LDA (linear discriminant analysis) method, and computing implied semantic features contained in the tree node objects; obtaining the object tree sets of all the images in the representative set to learn each pair of object trees in a matching way, and extracting the common maximum sub-trees from the object trees; combining all the common maximum sub-trees together by adopting a step-by-step adding method, and forming an object semantic tree of the category of the described ground object; and identifying the artificial ground object according to the object semantic tree and obtaining the area in which the ground object is positioned. The remote-sensing artificial ground object identifying method disclosed by the invention can be used for mostly effectively processing the artificial ground objects in the condition of high-resolution remote-sensing images; the identification result is accurate, the robustness is good, the applicability is high, and manual work is reduced.
Owner:济钢防务技术有限公司
User search string organization name recognition method based on semantic feature model
ActiveCN104679885AImprove recognition recallImprove recognition accuracySpecial data processing applicationsConditional random fieldSemantic feature
The invention belongs to the field of the processing of a natural language, and particularly relates to a user search string organization name recognition method based on a semantic feature model. The method comprises a treatment process of a model establishment stage and a recognition stage. The method comprises the steps of establishing a training language database conforming to the distribution of user search strings by utilizing the existing a long text marking language database at the model establishing stage, wherein the semantic database is used for storing the features of traditional participle and part-of-speech tagging and is additionally provided with a context feature in the search string and a cohesive feature correlated semantic environment feature, establishing a condition random field model according to the composite semantic feature, and adopting the random condition field model as an organization name recognition model; calculating the semantic environment feature corresponding to the user search string to obtain a model sequence of the user inquiry string, extracting the model sequence conforming to the organization name, and obtaining an organization name in the user search string. By adopting the method, the accuracy and recall rate for recognizing the organization name in the user search string can be comprehensively improved.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Distributed virtual block storage network
ActiveUS20180203641A1Input/output to record carriersTransmissionApplication programming interfaceData access
A virtual storage network may be implemented and exposed as a single virtual namespace, using physical disk storage distributed across multiple computing devices. In various embodiments, each computing device contributing physical disk storage to the virtual storage network may include one or more virtual block devices configured to provide a local interface to the virtual storage network, an application programming interface (API) or other software components to translate the local data access requests into tuple-space operations compatible with the tuple-space data model, and / or a tuple-space storage engine configured to provide access to the data tuple-space of the distributed virtual storage network. The tuple-space storage engine executing on each of the computing devices of the virtual storage network may coordinate via low-level communication to satisfy data access requests from client devices, and to perform data replication and migration tasks so that devices may be seamlessly added or removed from the virtual storage network.
Owner:ORACLE INT CORP
Product unified model construction system based on semantic meta model and construction method thereof
InactiveCN106127395AReduce lossReduce errorsSemantic analysisResourcesMetamodelingInteraction interface
The invention relates to a product unified model construction system based on a semantic meta model and a construction method thereof, and belongs to the technical field of product modeling. The system comprises a human-computer interaction interface (000), a product modeling subsystem (100), a product semantic meta model definition and management subsystem (200) and a product model management subsystem (300). The human-computer interaction interface is connected with the product modeling subsystem, the product semantic meta model definition and management subsystem and the product model management subsystem. The product modeling subsystem is connected with the product semantic meta model definition and management subsystem and the product model management subsystem. Compared with the systems and the methods in the prior art, a multi-level product modeling framework is constructed through combination of the meta modeling mechanism and the ontology technology so that product geometric and non-geometric information semantic description can be realized, and product life cycle information integration, sharing and reusing can be realized; and design personnel can create normal product information models without being proficient in the ontology thought or the modeling language internal structure so that the design efficiency and quality can be enhanced.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Universal network protocol analysis method
The invention discloses a universal network protocol analysis method. The method aims at the specifications and characteristics of application layer protocols under different digital network channels, and the method comprises the following steps: 1) defining a semantic meta model for describing the application layer protocols; 2) defining modeling standards and specifications of a network application protocol; 3) describing a digital network application layer protocol model of a combat system based on a "tree" structure; and 4) designing an automatic protocol analysis method based on the semantic meta model. Verification shows that the method disclosed by the invention can satisfy the mainstream application layer protocols, and can provide guidance for the development of universal joint debugging apparatuses, test devices and simulators by means of protocol analysis requirements.
Owner:南京仁谷系统集成有限公司
Image description generation method based on architectural short sentence constraint vector and dual visual attention mechanism
ActiveCN109543820AStrong representation abilityCloselyStill image data retrievalNeural architecturesAlgorithmVisual perception
The invention discloses an image description generation method based on an architectural short sentence constraint vector and a dual visual attention mechanism, A semantic model for automatically describing the visual content information of images is obtained by training a large number of labeled texts. The semantic model is composed of three parts: a short sentence generation model, a dual visualattention mechanism and a constrained language model. The text description can be generated automatically for any input test image. The invention can effectively establish the relationship between the word and the image in the text description, and has good performance for describing the salient objects or scenes of the image based on semantics.
Owner:SUN YAT SEN UNIV
Semantic model of everything recorded with UR-URL combination identity-identifier-addressing-indexing method, means and apparatus
InactiveUS20180150488A1Easy to integrateEasy to reuseWeb data indexingDatabase distribution/replicationAlgorithmPosition Descriptions
A computer program product embodied on a non-transitory computer readable storage medium, comprising non-transitory computer executable program code configured to perform the steps of: receiving a representation of an unlabeled event; labeling the unlabeled event according to a unitary relative event ontology; and storing the labeled event in the computer readable storage medium. The unitary relative event ontology can comprise an information description vector comprising a plurality of ontological primitives, and the plurality of ontological primitives can comprise a point description element, a reference-body description element, an observer description element, a position description element, a scene description element, and a specification description element.
Owner:RUNCHEY MARGARET
Control method and system for increment service supporting multiple access modes
InactiveCN101282500AImprove usabilitySolve control problemsSpecial service provision for substationMetering/charging/biilling arrangementsChannel dataValue-added service
The invention discloses a value added service control method and system supporting various access modes, establishing a service data model which includes at least abstractions of service and access channels, separating the access channels of the service from attribute of the service, correlating each service with corresponding access channel data table which includes one or one more access channels capable of issuing content of the service. The invention introduces a comprehensive service data model and separates access channel from attribute of the service, thereby enabling users to access service through various modes, which realizes service operations like subscribing, refunding and ordering, and effectively enriches service forms, promotes service availability and improves satisfaction of users.
Owner:CHINA MOBILE GROUP SHANDONG +1
Seismic data processing method based on alternating direction method and total variation theory
InactiveCN105549076AImprove signal-to-noise ratioHigh resolutionSeismic signal processingImage resolutionComputer science
The invention provides a seismic data processing method based on the alternating direction method and the total variation theory. The method comprises the steps of building a seismic data model based on total variation, using the classic quadratic penalty function method to convert the model into a solving problem meeting the requirement of iteration and alternating minimization, and performing iteration through the alternating direction method to get seismic data after recovery. By using the technology, seismic data can be de-noised and de-blurred (de-convoluted), the signal-to-noise ratio and resolution of seismic data can be improved effectively, and a good processing effect can be achieved even if the signal is seriously polluted by noise.
Owner:PETROCHINA CO LTD
Integrated three-dimensional data modeling method for comprehensive pipe network geographic information system
ActiveCN101685465AImprove unityMeet the needs of expressionData processing applicationsSpecial data processing applicationsModel systemGeographic information system
The invention relates to an integrated three-dimensional data modeling method for a comprehensive pipe network geographic information system, which comprises the following steps: (1) abstracting urbancomprehensive pipe network elements; (2) constructing change events of an urban comprehensive pipe network; (3) constructing an urban comprehensive pipe network element topologic relation; (4) constructing a semantic relation model for the urban comprehensive pipe network elements according to the essential characteristics and rules of the urban comprehensive pipe network; and (5) constructing aphysical data model for the urban comprehensive pipe network, and realizing the association between a geometric data model and attribute data and relation according to the physical organization of urban comprehensive pipe network data. The three-dimensional data modeling method achieves the uniformity on a model system of the urban comprehensive pipe network data, meets the requirement on expression of dynamic information of the urban comprehensive pipe network, and is worth popularizing and applying.
Owner:苏州市数字城市工程研究中心有限公司 +1
Simulator system and method based on simulation data model
ActiveCN106250308AHigh degree of standardizationHigh degree of generalizationSoftware testing/debuggingData sourceMemory object
The invention discloses a simulator system based on a simulation data model. The simulator system comprises a configuration unit, a simulation data model unit, a task execution logical unit, a data interface unit and an auxiliary unit. The invention further discloses a method for implementing the system. The method comprises the steps of creating an interface document, creating a simulation data model memory object, creating and connecting a data source, creating tasks and operating execution logic, crating and operating the auxiliary unit, receiving an external instruction and sending simulation data and the like. Through the interface document and the execution logic, the requirements of various simulation service logics can be met; and through the data interface unit, multi-type data interfaces (including a hardware driving interface and interfaces of other forms) can be matched. The standardization and universalization degree of a simulator are greatly improved, risks caused by service alterations are reduced, and users' investments are protected.
Owner:北京赛博智通信息技术有限责任公司
Human body animation process directly driven by movement capturing data based on semantic model
ActiveCN101477703AHigh feasibilityImprove efficiencyAnimation3D-image renderingHuman bodyComputer animation
The invention discloses a method for directly driving human animation by human motion capture data. The method is based on a semantic model, and relates to the technical fields of computer animation and human motion capture. The method comprises the following steps: the concept and the method of a human topological structure semantic model are introduced; the semantic model is taken as a connection; and on the basis of a non-uniform rational B-spline (NURBS) surface model, the method for directly driving human animation by the human motion capture data can be realized by coordinate system interpolation. An actual test shows that a retrieval method provided by the invention is able to effectively realize the driving of third dimension human animation directly by the human motion capture data, and has the advantages of good practicability and relatively high efficiency.
Owner:DALIAN UNIVERSITY
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