An RDF approximate answer query method based on node context vector space

A technology of vector space and query method, which is applied in the field of obtaining approximate answers from RDF query graphs on the Semantic Web, and can solve problems such as low quality of approximate answers, inapplicable methods, and low efficiency
CN108984633AActive Publication Date: 2018-12-11GUANGDONG XIAN JIAOTONG UNIV ACADEMY
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGDONG XIAN JIAOTONG UNIV ACADEMY
Publication Date
2018-12-11

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Abstract

The invention discloses an RDF approximate answer query method based on node context vector space. Firstly, the vector space representation of an RDF graph is generated, then the RDF query graph is partitioned, and then the approximate answer is found based on the vector space. Finally, the approximate answer results of the RDF query graph are returned to help users to define the information requirements and modify the initial RDF query graph. The invention can solve the problem of RDF inquiry empty set answers, in which the learning method of RDF representation based on node context can generate the continuous vector representation of RDF data set offline. The RDF query graph can satisfy the user's query intention when projected in continuous vector space, and the generated approximate answers and corresponding recommended queries are sorted and returned to the user for explanation. This data-driven solution method improves the quality of RDF approximate query and significantly reduces the time overhead.
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Description

technical field

[0001] The invention belongs to the technical field of obtaining approximate answers from RDF query graphs on a semantic web, and in particular relates to an RDF approximate answer query method based on a node context vector space. Background technique

[0002] With the development of Semantic Web technology, RDF (Resource Description Framework) has become a standard specification recommended by the Internet Society (W3C) to publish, share, and connect various data resources on the Internet. The Internet already contains more than 100 billion pieces of RDF data and is still increasing rapidly, which contains rich information resources. Querying and obtaining such information is becoming an urgent need for people. Retrieving RDF data requires the user to accurately grasp the data schema of the RDF query graph, and an inappropriate RDF query graph is prone to empty query results. Therefore, obtaining the approximate answer of an RDF query graph and the corres...

Claims

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