13 results about "RDF" patented technology

This provides a computer implementation method for executing linearly recursive queries on an RDF (Resource Description Framework) graph database using a query engine. [Solution] The method includes the steps of: obtaining a first part of a query that defines one or more initial conditions for query elements in a second part of a query on an RDF graph database as input; and obtaining at least two clauses that specify that the second part of the query is executed recursively. The first clause defines how the output of the execution of the second part of the query is used as input for the next execution of the second part of the query. The second clause includes query elements that define the second part of the query and describe how the output of the execution is queried using (i) one or more initial conditions as input for the first execution or (ii) the output of the previous execution for the next execution.

The invention relates to the field of data management, in particular to a BRM business rule automatic reasoning method based on a knowledge graph. Comprising the following steps: obtaining a resource description framework triple based on a heterogeneous time series data stream containing a blade CNC machining log and thermal barrier coating process parameters, loading the triple into a graph database, and constructing a manufacturing knowledge graph data model; extracting historical time sequence data, and initializing a completely undirected graph; based on the process mechanism model and condition independence test, determining a data dependence path, and outputting a directed acyclic graph; performing analysis through intervention calculation, and calculating an average causal effect value; forming a causal knowledge graph by taking the average causal effect value as an attribute and the data dependence path as a relationship; and querying thermal spraying parameter nodes with average causal effect values exceeding a threshold value in the causal knowledge graph, and converting the thermal spraying parameter nodes into storage strategy rules. According to the method, the causal knowledge graph is converted into the storage strategy rule, so that automatic and closed-loop management from data acquisition to rule optimization is realized.

This application relates to a cloud-native resource description framework (RPF) data storage system, method, and computer device. The system includes: a storage layer for storing triples sharing the same attribute in RPF graph data as a subgraph and storing them in cloud object storage, constructing a range-aware offset index for each subgraph; and a computation layer for receiving RPF queries, decomposing the RPF queries into multiple subqueries according to attributes, querying the range-aware offset index, obtaining the byte offset of the target data value in each subquery in the corresponding subgraph, and, based on a query processing efficiency model, determining a target access method for each subquery from multiple preset data access methods according to the byte offset, executing the target access method to output the subquery result, and concatenating the results of each subquery to generate the query answer. Using this system can significantly reduce storage and query operating costs while maintaining competitive query performance.

The embodiment of the invention discloses a knowledge graph query method, device and system, electronic equipment and a storage medium. Comprises: obtaining a query request; matching the query request with a rule base; when a rule associated with the query request is matched from the rule base, sending the query request and the rule to a first knowledge graph of the field, so that the first knowledge graph determines a first output based on the query request and the rule; otherwise, the query request is sent to a second knowledge graph of the domain to determine a second output by the second knowledge graph based on the query request, where the first knowledge graph is established in a resource description framework (RDF) manner and the second knowledge graph is established in a tag attribute graph (LPG) manner. On the basis of identifying the query intention, the advantages of the LPG and the RDF are fully utilized, and the query efficiency is improved. In addition, query languages of two knowledge maps do not need to be mastered at the same time, and the use threshold is lowered.

The invention provides an intelligent calculation operation and maintenance RDF knowledge graph updating method and device and electronic device.The method comprises the steps that in response to a detected dynamic change event associated with a target object, the dynamic change event is converted into a resource description framework RDF triple and an operation intention corresponding to the RDF triple; according to the event type of the dynamic change event, performing target verification on the initial RDF knowledge graph of the intelligent calculation operation and maintenance; and under the condition that the initial RDF mapping knowledge domain passes the target verification, updating the initial RDF mapping knowledge domain according to the RDF triple and the operation intention to obtain an updated RDF mapping knowledge domain. According to the method, the consistency and integrity of graph state evolution can be ensured, data exception caused by conflict change can be effectively avoided, and the reliability of knowledge graph maintenance and the intelligent calculation operation and maintenance level are improved.

The invention belongs to the technical field of nuclear power, and particularly relates to a knowledge management method and device for industrial control network security. According to the method, the object attribute model based on the resource description framework (RDF) is defined, the ETL thought is adopted to construct the data processing engine, network security heterogeneous data sources which are widely adopted can be integrated, data of multiple information sources can be integrated, strategies such as resource linking and validity verification can be formulated, the expandability of the network security knowledge graph is improved, and the network security knowledge graph can be applied to the network security knowledge graph. And increasingly complicated vulnerability utilization situations can be effectively handled. In combination with an industrial control system and an NIST network security architecture, attack detection and coping strategies are mapped to a security assessment implementation architecture, so that the blank of a network security knowledge graph in the field of industrial control system network security assessment is filled up, a basis is provided for security assessment automation, improvement of the own security protection capability of the industrial control system is facilitated, and the network security assessment implementation architecture is improved. And the knowledge graph can practically guide the network security assessment execution work.

Embodiments describe a method comprising: receiving a Resource Description Framework query comprising at least one triple pattern comprising a predicate portion that defines a selector operation, wherein the predicate portion identifies: a data binding with primitive data that is nested within a complex data object provided by an external data source; and a foreign selector type configured to interface with the external data source; converting the RDF query to a query plan comprising the selector operation; and executing the query plan, wherein executing the selector operation comprises: identifying the foreign selector type from the predicate portion; instantiating a foreign selector; retrieving the complex data object from the external data source; fetching the primitive data from the complex data object using the foreign selector; creating data bindings with the primitive data based on the predicate portion; and returning the data bindings.

This provides an improved data structure for representing adjacency matrices associated with predicates in a set of quads in an RDF (Resource Description Framework) graph database, a method for updating the data structure, and a program for doing so. [Solution] The data structure representing the adjacency matrix is ​​divided into a grid of rectangular partitions, the rectangular partitions having the same dimensions 100, the adjacency matrix includes a set of adjacency submatrices, each adjacency submatrice corresponds to each partition of the adjacency matrix, and each adjacency submatrice is identified by its respective position in the grid 110.

Techniques for converting Resource Description Framework (RDF) data into natural language text using a bidirectional graph convolutional neural network ("BGCNN"). Some embodiments perform RDF-to-text generation by learning a graph-enhanced structural neural encoder that includes: (a) a bidirectional graph-based meta-path encoder; (b) a bidirectional graph convolutional network encoder; and (c) a separate attention mechanism for combining the encoder and a decoder to translate RDF triples into natural language descriptions.

The invention discloses an enterprise scientific research subject knowledge graph construction method, and relates to the technical field of knowledge graph construction, and the method comprises the following steps: S1, based on an ontology editing tool, using a resource description framework (RDF) and an OWL language to carry out knowledge modeling on a scientific research subject knowledge graph, and determining an entity type, an entity attribute and an entity relationship; s2, collecting achievement data of an enterprise, and performing data cleaning and preprocessing on the achievement data to obtain a scientific research subject text; s3, knowledge extraction based on knowledge self-distillation of the large language model; s4, performing entity disambiguation based on text similarity and an affinity propagation algorithm; and S5, performing rule setting based on the constructed knowledge graph, performing reasoning on the potential relationship, and constructing the knowledge graph oriented to enterprise scientific research management. According to the invention, intelligent scientific research subject management and search capabilities are provided for scientific research personnel, so that the efficiency of scientific research management is improved. Meanwhile, through deep development, analysis and utilization of scientific research project information, powerful support is provided for management and decision making of a scientific research unit.

This provides a computer-implemented efficient data structure, a computer-implemented method, and a system for storing RDF datasets containing a set of RDF (Resource Description Framework) quads. [Solution] The data structure comprises a first data structure and a second data structure. The first data structure includes a first non-graph database with ACID (Atomicity, Consistency, Isolation, Durability) properties for temporarily storing one or more changes applied to an RDF dataset. The second data structure includes a second non-graph database with ACID properties for storing the state of an RDF dataset as a binary representation. The binary representation is stored as binary data within the native structure of the second non-graph database.

This invention relates to a method for constructing and implementing a global knowledge graph for counterterrorism data. The method includes fusing and optimizing the Maryland Global Counterterrorism Database with a custom database to obtain a global database and a global knowledge graph; extracting resource description framework triples; embedding the resource description framework triples into a semantic space; training a deep learning network through the semantic space to obtain a multi-task joint learning model; inputting the word vector space to be identified into the multi-task joint learning model to obtain new resource description framework triples; and adding the new resource description framework triples to the global knowledge graph. This invention utilizes a global knowledge graph, significantly reducing the size of the knowledge base during training, testing, and querying, while greatly improving accuracy. It also fills gaps in the global knowledge graph. The technical solution provided in this application utilizes the correlation between things to quickly determine and analyze terrorist situations, greatly meeting current application needs.

The application provides a kind of computing power resource configuration method and system based on network intention analysis, comprising: obtaining user natural language input and obtaining standardized intention text by text preprocessing;By large language model, semantic understanding is carried out, business type is identified and explicit intention primitive is extracted;Based on business knowledge graph, explicit intention primitive is inferred and enhanced, and complete intention requirement set is obtained by completing implicit demand;After demand standardization processing and resource semantic mapping, resource description framework is generated;The resource description framework is matched with the computing power identifier of the computing power node, and the candidate computing power node set is screened in combination with real-time network state;Based on resource description framework, candidate node, network state and business constraint, adaptive prompt word is constructed, and candidate configuration scheme is generated by large language model, and the final configuration scheme is output after verification and optimization.The application can improve the integrity and accuracy of intention analysis, realize intelligent generation and adaptive optimization from natural language business intention to computing power configuration scheme.