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48 results about "Semantic grid" patented technology
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A semantic grid is an approach to grid computing in which information, computing resources and services are described using the semantic data model. In this model, the data and metadata are expressed through facts (small sentences), becoming directly understandable for humans. This makes it easier for resources to be discovered and combined automatically to create virtual organizations (VOs). The descriptions constitute metadata and are typically represented using the technologies of the Semantic Web, such as the Resource Description Framework (RDF).
Query intermediate language method and system
InactiveUS7519577B2Data processing applicationsSemi-structured data queryingSemantic representationData source
A computer system and method generate a semantic representation of one or more XML language inquiries across relational and non-relational data sources. A semantic intermediate language representation explicitly describes the meaning of the one or more XML language inquiries. The semantic intermediate language may be a graph structure with nodes which describe the operations of the original query. Operators assigned to the nodes in the semantic graph allow an unambiguous definition of the original XML query. The semantic intermediate language may be used to perform XML queries over single or multiple data sources. A method includes receiving at least one inquiry, defining at least one node object for every operation within the received inquiry, translating each node object using operators, and generating a semantic representation from the operators.
Owner:MICROSOFT TECH LICENSING LLC
Semantic version control system for source code
InactiveUS20090133006A1Digital data processing detailsVersion controlSource code fileDependency relation
A computer implemented method and computer usable program product for version control of source code. In one embodiment, a source code file is scanned for relationships between source code sections. A semantic graph with dependencies and metadata describing the source code sections is constructed. The dependencies indicate the relationships between the source code sections. If changes are received for the semantic graph, the semantic graph is modified with the changes to form a modified semantic graph.
Owner:IBM CORP
Measuring accuracy of semantic graphs with exogenous datasets
Provided is a process including: obtaining a semantic similarity graph having nodes corresponding to documents in an analyzed corpus and edges indicating semantic similarity between pairs of the documents; for at least a plurality of nodes in the graph, evaluating accuracy of the edges based on neighboring nodes and an external corpus by performing operations including: identifying the neighboring nodes based on adjacency to the respective node in the graph; selecting documents from an external corpus based on references in the selected documents to entities mentioned in the documents of the neighboring nodes; and determining how semantically similar the respective node is to the selected documents.
Owner:QUID LLC
Method for generating semantic grid map and device thereof
ActiveCN108920584AImprove understandingInformativeInstruments for road network navigationCharacter and pattern recognitionRadarComputer vision
The invention relates to a method for generating a semantic grid map and a device thereof, wherein the method comprises the following steps of: acquiring image data of an environment through a visualsensor, acquiring 2D scanning data of the environment through a laser radar sensor; merging the acquired image data and the 2D scanning data to generate semantic scanning data; merging the generated semantic scanning data with the grid map of the environment to generate a semantic grid map. According to the invention, the visual sensor is introduced, the image data is acquired through the visual sensor, and the semantic information is endowed to the 2D scanning data acquired through the laser radar sensor; during the merging process of the map, the dynamic object is removed to reduce the noisepoint, meanwhile, the semantic information is added to the determined grid, the semantic grid map is generated, and reliable road sign information is provided for the composition, positioning and navigation, thereby improving the robustness of the composition and positioning of a mobile robot in the dynamic environment.
Owner:GUANGZHOU SHIYUAN ELECTRONICS CO LTD
Reorienting navigation trees based on semantic grouping of repeating tree nodes
InactiveUS7669147B1More disorderlyLot of screen spaceDigital data information retrievalDigital data processing detailsRedundant codeTheoretical computer science
Non-hierarchical relationship UIs (“topology UIs”) are difficult to scale to hundreds or more items. An embodiment of this invention provides indicators and quick access controls for the nodes in navigation tree that appear more than once in a hierarchy—where a pure hierarchical navigational tree falls short. The navigational tree is structured by grouping all matching nodes together. The display area displays the most frequent and the concatenated labels of the semantically grouped redundant nodes. A set of contextual proximity and similarity information and an exception list are stored in a semantic database which is configurable by system administrators. These navigation area controls and indicators will preemptively handle non-hierarchies directly within the navigation tree.
Owner:IBM CORP
Semantic indexing method based on field ontology
InactiveCN101388026AAvoid missing checksAccurate expressionSpecial data processing applicationsSingular value decompositionGranularity
The invention relates to a semantic index method based on domain ontology, which comprises steps of (1) using singular value decomposition to decompose term-document matrices to obtain concept term-document matrices, (2) firstly establishing a basic ontology repository of the domain and using the basic ontology repository to construct a dynamic semantic template library based on the domain ontology, (3) establishing an inverted index for the document by using the concept terms which are added to the dynamic semantic template library in step (2) by a semantic index which is a secondary index undertaken on the base of the ontology and relevant statement thereof, and simultaneously establishing secondary indexes for the relevant statements appeared under each ontology. The invention has the advantages that the shortage that the keyword index is difficult to overcome and identify synonyms, semantically same or associated information can be obtained, and the secondary index of the relevant statement of the ontology can refine search granularity, can provide higher accuracy and efficiency for search results, and can provide advanced search functions for users.
Owner:ZHEJIANG UNIV
Contact semantic grouping method for network message communication
InactiveCN102347917AReduce running timeImprove efficiencyData switching networksSpecial data processing applicationsCommunications systemSocial web
The invention discloses a contact semantic grouping method for message communication, which is mainly used for solving the problem of inconvenient use of a social network communication system because the contact semantic grouping is difficultly and automatically realized in a large-scale social network message communication system in the prior art. The method comprises the following steps of: constructing a communication social relation picture of users by using historical information of message communication; then selecting nodes correspondingly frequently communicated with nodes of the users as semantic groups, finding out all candidate semantic groups from the semantic groups, and constructing topological relation formed from the semantic groups by removing meaningless semantic groups and combining irrelevant semantic groups; and finally, constructing layered semantic groups by calculating Jaccard coefficients. The method disclosed by the invention is capable of processing large-scale social network message communication data and has the advantages of being simple and easy, higher in accuracy and rapider in operation speed. The method can be used for solving buddy grouping problems of mailboxes, instant messaging and social network communication.
Owner:XIDIAN UNIV
Semantic version control system for source code
A computer implemented method and computer usable program product for version control of source code. In one embodiment, a source code file is scanned for relationships between source code sections. A semantic graph with dependencies and metadata describing the source code sections is constructed. The dependencies indicate the relationships between the source code sections. If changes are received for the semantic graph, the semantic graph is modified with the changes to form a modified semantic graph.
Owner:INT BUSINESS MASCH CORP
Method for constructing indoor two-dimensional semantic grid map with object navigation point
ActiveCN111486855APrevent falling intoImprove planning efficiencyInstruments for road network navigationNavigational calculation instrumentsPattern recognitionComputer graphics (images)
The invention provides a method for constructing an indoor two-dimensional semantic grid map with an object navigation point. The method comprises the following steps of S1, constructing an environment grid map, and acquiring a real-time position of a robot; S2, completing recognition of an object in an environment; S3, obtaining a main body part of the target object, and obtaining coordinates ofthe target object in a camera coordinate system; S4, performing coordinate conversion to obtain the coordinates of the recognized object in a grid map coordinate system, and establishing an object grid map; S5, combining the object grid map and the environment grid map to obtain a semantic grid map reflecting environment semantic information; and S6, extracting a navigation point of the target object in the semantic grid map to obtain an indoor two-dimensional semantic grid map with the navigation point. According to the method, an original grid map contains semantic information and also contains the object navigation point, the semantic grid map provides richer features for robot positioning and navigation, and higher-level complex tasks can be completed.
Owner:WUHAN UNIV OF SCI & TECH
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
Measuring accuracy of semantic graphs with exogenous datasets
Provided is a process including: obtaining a semantic similarity graph having nodes corresponding to documents in an analyzed corpus and edges indicating semantic similarity between pairs of the documents; for at least a plurality of nodes in the graph, evaluating accuracy of the edges based on neighboring nodes and an external corpus by performing operations including: identifying the neighboring nodes based on adjacency to the respective node in the graph; selecting documents from an external corpus based on references in the selected documents to entities mentioned in the documents of the neighboring nodes; and determining how semantically similar the respective node is to the selected documents.
Owner:QUIDEL
Answer searching method and device based on semantic index and related equipment thereof
The invention discloses an answer search method and device based on semantic indexing, electronic equipment and a storage medium. The method comprises the steps of obtaining a question text input by auser; carrying out vector conversion on the problem text according to a pre-trained semantic index model to obtain semantic vector expression of the problem; matching the semantic vector expression of the question with each answer vector expression in a pre-established answer vector index library; wherein the answer vector index library is constructed by converting all answers in an answer samplepool into vector expressions according to a semantic index model; and obtaining a corresponding answer text according to the matched answer vector expression, and providing the corresponding answer text as a search result for the user. The method can solve the technical problem that in the prior art, a common similarity matching technology only simply matches questions from a character surface, so that only answers related to some character surfaces can be obtained, the answer screening time of a user is saved, and the use experience of the user is improved.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD
Semantic risk calculating method based on text logical characteristic
The invention discloses a semantic risk calculating method based on a text logical characteristic. The semantic risk calculating method comprises the steps of predefining a structure type, and forming a preset-type semantic logic combination; dividing a to-be-processed text into a plurality of texts, and performing word cutting; for the word combination of the to-be-processed paragraph, performing matching according to a predefined preset-type semantic logical combination, performing traversal of the preset-type semantic logical combination, performing paragraph risk value calculation on all word sets with defined semantic structures; performing matching calculation processing on all paragraphs; classifying matching risk sets of all paragraphs of the to-be-processed text, performing accumulation according to the paragraph weight and the paragraph risk value, and obtaining sequential risks and scores of the risks after protocol calculation. The semantic risk calculating method can realize high-efficiency and accurate risk mining.
Owner:BEIJING DEEPDATA TECH
Method and system for acquiring answers of tax business questions based on semantic graphs
PendingCN109858020ASolve the problem of ambiguityReduce search spaceNeural architecturesText database queryingQuestions and answersData mining
The invention discloses a method and a system for acquiring answers of tax business questions based on semantic graphs, and belongs to the technical field of intelligent questions and answers. The method comprises the steps of defining a question Q and an answer of the question Q according to a state transition graph G, and mapping a semantic interpretation process of the question Q into a sub-graph sub-G query process of the state transition graph G; generating a logic expression; action transfer and conditions in the logic expression are repeated; and obtaining a tax business problem, inputting the tax business problem into the model, checking whether the tax business problem completes the logic expression X, and outputting a tax business problem answer when the tax business problem completes the logic expression X. The semantic parsing process is mapped into the retrieval process of the query graph, so that the retrieval space of problem parsing is reduced, the operation between entities is judged by using the deep convolutional neural network, and the predicate synonym ambiguity problem mentioned in the preamble is solved.
Owner:AEROSPACE INFORMATION
Text recommendation method based on depth semantic discrimination
PendingCN107832312AResolving query semantic relevanceSolve the potential interest mining problemWeb data indexingSpecial data processing applicationsSemanticsBiological activation
The invention discloses a text recommendation method based on depth semantic discrimination. A text topic is automatically extracted according to a depth semantic grid model, scene semantics under different text backgrounds are inferred according to a topic scene semantics analysis method, a text topic tree which incorporates situational states is achieved, a user text interest portrait is constructed for each document based on a user's real-time situational state. At the query end, for the real-time fluctuations of the user's situational state, the text topic tree is screened for contextual semantics, the query content is modeled on the query interest topic, according to an activation diffusion method, second latent semantic reasoning is performed on the user's direct interest topic, theglobal activation value of the topic is calculated, and a user query interest portrait which incorporates the current context semantics is constructed. The documents are scored by a similarity calculation method, and a text recommendation list is generated according to the score.
Owner:BEIJING UNIV OF TECH
Electronic device, system and method for determining a semantic grid of an environment of a vehicle
An electronic device for determining a semantic grid of an environment of a vehicle is provided. The electronic device is configured to: receive first image data of an optical sensor, the first image data comprising a 2D image of the environment, perform a semantic segmentation of the 2D image and project the resulting semantic image into at least one predetermined semantic plane, receive an occupancy grid representing an allocentric bird eye's view of the environment. The control device further includes a neural network configured to determine a semantic grid by fusing the occupancy grid with the at least one predetermined semantic plane.
Owner:TOYOTA MOTOR EUROPE
Improved AMCL positioning method based on semantic map with wall corner information and robot
ActiveCN113483747ANavigation instrumentsElectromagnetic wave reradiationPattern recognitionMap matching
The invention discloses an improved AMCL positioning method based on a semantic map with wall corner information and a robot. According to the method, an established two-dimensional semantic grid map is utilized, and the semantic map is fused with a target detection method based on deep learning to extract central point positions of wall corners and other various objects in the environment in the grid map, so that a semantic information graph around the corner points is formed. And near obstacle distance value calculation is performed on the loaded grid map, and a semantic lookup table around the angular points is generated. And a proposed visual pre-positioning method is combined, so that the mobile robot can realize initial positioning more quickly under the condition of a small amount of prior information and movement. And a particle weight updating mode is improved, and an AMCL algorithm and environment map matching are synchronously combined to carry out fine positioning. Contrast experiments are carried out under different environment conditions, and it is verified that the method improves the particle convergence rate of the robot and particularly improves the positioning accuracy and robustness when the environment has certain similarity or changes to a certain extent.
Owner:WUHAN UNIV OF SCI & TECH
A Semantic Query Expansion Method Based on Domain Knowledge
InactiveCN101630314BImprove recallImprove accuracySpecial data processing applicationsComputational semanticsData mining
The invention discloses a semantic query extension method based on domain knowledge, which includes: constructing domain knowledge based on concept expression and knowledge tree system; performing preliminary semantic analysis on user query phrases to form a list of semantic items; utilizing preliminary semantic analysis Based on domain knowledge, construct a semantic graph with extended types and extended weights; calculate the semantic distance between each vertex in the semantic graph and the initial vertex; determine the possible value of each item in the semantic item list according to the semantic distance Extended items; finally relying on the logical relationship of "AND" and "OR" to merge all expandable items to obtain a set of semantic items representing the user's query intention, and submit it to the search system for searching. The invention has short calculation time, fully utilizes domain knowledge, and has a clear semantic relationship between the newly added extended semantic item and the original query phrase, and can effectively improve the recall rate and precision rate of the search system.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Semantic manufacturing
A dataset including boundary representations of shapes associated with an item being designed for manufacture is accessed by a semantic processing module. A semantic graph of each of the boundary representations of shapes is generated and a numerical processing module computes geometric attributes of each of the shapes. The semantic graph of a shape is updated based on any geometric attributes computed for the shape. The semantic graphs are then compared to a repository of semantic graphs of manufacturing features to identify instances of manufacturing features. Geometric attributes associated with each instance of a manufacturing feature are then computed. For each instance, the associated geometric attributes are compared against a repository of semantic manufacturing rules to determine whether the instance is in compliance with the rules. A user designing the item is alerted to the presence of any instances of manufacturing features that are not in compliance with the rules.
Owner:GENERAL ELECTRIC CO
Electronic advertising arbitrage
Performing an operation is disclosed. A first keyword is received. For the first keyword an associated semantic group of one or more keywords associated by a semantic relationship is identified. An electronic advertising operation is performed using a second keyword associated with the identified semantic group.
Owner:LOCAL COM LTD
Chinese medicine ancient document database
InactiveCN1731395AHas editWith classification functionSpecial data processing applicationsSemanticsSemantic search
The invention relates to a Chinese medical archeography database. It stores special topic database, original domicile document database, index database and original domicile image database into the computer; the original domicile document database and the index database are graded by the bibliography principle, and the bibliography contents with different grades are stored into the corresponding grade fields, the content is stored on the last grade by section type. The established Chinese medical archeography database possesses the function of editing, grading and storing, the entire index, rear controlling and semantics index.
Owner:SHANDONG UNIV OF TRADITIONAL CHINESE MEDICINE
Positioning method and device, electronic equipment and storage medium
ActiveCN113256712AImprove accuracySmall amount of calculationImage enhancementImage analysisPoint cloudEngineering
The embodiment of the invention provides a positioning method and device, electronic equipment and a storage medium. The method comprises the steps that a target local semantic point cloud map, a global semantic grid map and a laser point cloud map of a current position are acquired, and each grid of the global semantic grid map records a probability value that a target semantic object exists in the grid; pose recognition is performed based on the target local semantic point cloud map and the global semantic grid map to obtain a candidate pose set; and a target pose is determined according to the laser point cloud map and the candidate pose set, wherein the target pose comprises a loopback pose and / or a relocation pose. According to the embodiment of the invention, by adopting the technical scheme, the calculation amount required in the positioning process can be reduced, and the loopback detection / repositioning speed can be improved.
Owner:BEIJING YOUZHUJU NETWORK TECH CO LTD
Semantic label generation method and device and computer storage medium
PendingCN110399505ASupport recommendedSupport searchMetadata multimedia retrievalNatural language processingRelevant information
The embodiment of the invention provides a semantic tag generation method and device and a computer storage medium. In the present application, description dimensions and combination requirements of the description dimensions are preset for media; And then the description dimension values corresponding to the description dimensions are combined and connected by utilizing the combination requirements, so that semantic tags with clear meanings and complete semantics can be generated, and the defect of a small number of tags caused by directly extracting the semantic tags from related informationof media in the prior art is overcome. Furthermore, applications such as media recommendation and search can be effectively supported by utilizing the generated semantic tags.
Owner:HUAWEI TECH CO LTD
Visualization concept detector and method for constructing semantic field
ActiveCN102982072ASmall amount of calculationReduce adverse effectsSpecial data processing applicationsSemantic gapFeature description
The invention provides a visualization concept detector which is used for a retrieval process of a three-dimensional model. The visualization concept detector comprises a text description module, a semantic description module, a feature description module and a semantic concept computation module, wherein the text description module, the semantic description module and the feature description module are respectively used for constructing text description, network annotation and semantic concepts of synonym sets and shape and content characteristics in order to obtain a semantic concept vocabulary, and the text description, the network annotation and the semantic concepts are originated from a to-be-retrieved three-dimensional model. The semantic concept computation module is used for calculating through a probability model to obtain a core semantic concept vocabulary, namely a semantic field, and the visualization concept detector is combined to retrieve the three-dimensional model. Therefore, the harmful effect of 'semantic gap' is weakened, the calculated amount of three-dimensional model retrieval is reduced, the retrieval speed is accelerated, and the precision and the stability of retrieved results are enhanced.
Owner:BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
Generating a semantic graph that allows a user to intelligently and efficiently connect with people and assets involved in projects
Owner:INT BUSINESS MASCH CORP
Semantics graphs for enterprise communication networks
Building a semantics graph for an enterprise communication network can include calculating a distance metric between a first signifier and a second signifier associated with an enterprise communication network, wherein the distance metric includes a plurality of relationships defined based on a frequency of co-occurrences of the first signifier and the second signifier, and building a semantics graph for the enterprise communication network using the calculated distance metric.
Owner:MICRO FOCUS LLC
Electronic device, system and method for determining a semantic grid of an environment of a vehicle
The invention relates to an electronic device (1) for determining a semantic grid of an environment of a vehicle. The electronic device is configured to: receive first image data of an optical sensor, the first image data comprising a 2D image of the environment, perform a semantic segmentation of the 2D image and project the resulting semantic image into at least one predetermined semantic plane, receive an occupancy grid representing an allocentric bird eye's view of the environment, wherein the control device further comprises: a neural network configured to determine a semantic grid by fusing the occupancy grid with the at least one predetermined semantic plane. The invention further relates to a system and a method.
Owner:TOYOTA MOTOR EUROPE
Methods and Systems for Improved Semantic Meshing
ActiveUS20160371310A1Improved semantic meshingNatural language data processingSpecial data processing applicationsData streamHash function
In at least one embodiment, the present invention provides methods and systems for improved semantic meshing, comprising receiving an input data stream consisting of a plurality of characters; generating a normalized stream having an initial value based on said input data stream; applying a plural character rolling window to a subset of the normalized stream to select at least one stream subset, applying a first uniform hash function to the at least one stream subset to create at least one digest, identifying a cut if the modulus of the digest is zero, such that identifying a cut includes applying a second uniform hash function to the remainder values of the normalized stream, generating at least one shingle, resetting the plural character rolling window with a plurality of zeros and aggregating the at least one shingle into a semantic hash.
Owner:CARCEMA INC +1
System and method for configuring voice readers using semantic analysis
A system and method for using semantic analysis to configure a voice reader is presented. A text file includes a plurality of text blocks, such as paragraphs. Processing performs semantic analysis on each text block in order to match the text block's semantic content with a semantic identifier. Once processing matches a semantic identifier with the text block, processing retrieves voice attributes that correspond to the semantic identifier (i.e. pitch value, loudness value, and pace value) and provides the voice attributes to a voice reader. The voice reader uses the text block to produce a synthesized voice signal with properties that correspond to the voice attributes. The text block may include semantic tags whereby processing performs latent semantic indexing on the semantic tags in order to match semantic identifiers to the semantic tags.
Owner:INT BUSINESS MASCH CORP
A Visual Concept Detector and a Method for Constructing Semantic Fields
ActiveCN102982072BSmall amount of calculationReduce adverse effectsSpecial data processing applicationsProbit modelSemantic gap
Owner:BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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