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Query relaxation method for question and answer of RDF knowledge base

A knowledge base and relaxation technology, applied in the direction of unstructured text data retrieval, instrumentation, calculation, etc., to achieve the effect of rationality and comprehensibility

Active Publication Date: 2019-12-13
NANJING UNIV
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Problems solved by technology

[0009] The present invention provides a knowledge graph oriented to RDF structure, and proposes a method of obtaining inference rules through rule learning on predicates, using inference rules to supplement predicates, solving the query problem of empty results, and realizing query relaxation oriented to knowledge base questions and answers method

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  • Query relaxation method for question and answer of RDF knowledge base
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  • Query relaxation method for question and answer of RDF knowledge base

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[0031] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, it should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of use of the present invention, after having read the present invention, those skilled in the art will understand each aspect of the present invention The modifications of all equivalent forms all fall within the scope defined by the appended claims of the present application.

[0032]The query condition of a SPARQL query statement often contains multiple subject-predicate-object triples , and at least one of the three components of the subject-predicate-object of each triple is represented by a variable, called a triple Group mode, such as "dbr:Yann_LeCun dbo:doctoralAdvisior?tutor" mentioned above, "dbr:Yann_LeCun" is the subject, "dbo:doctoralAdvisor" is the predicate, "?tutor" is the object (also a variable). In knowle...

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Abstract

The invention discloses a query relaxation method for question and answer of a knowledge base, which is characterized by comprising the following steps: segmenting a result-free SPARQL statement, analyzing query conditions, and extracting predicates of an inference rule to be learned to form a predicate set; for the predicate set obtained in the previous step, obtaining an inference rule set and aconfidence calculation model of each predicate; supplementing corresponding predicates based on the reasoning rule set obtained in the above steps, recombining query conditions, and querying candidate results; and scoring and sorting the candidate results based on the confidence calculation model obtained in the above steps, reserving a part of high-confidence results as final results, and outputting an inference rule enabling each result to be established. According to the method, efficient and accurate result prediction of the SPARQL statement without the query result is realized.

Description

technical field [0001] The present invention relates to the technical fields of knowledge graph, knowledge base question answering, rule learning and query relaxation, in particular to a query relaxation method for RDF knowledge base question answering, specifically a rule learning based query relaxation method for knowledge base question answering, in particular It is a query relaxation method that uses high-precision inference rules to supplement predicates to achieve efficient searches. Background technique [0002] Knowledge graph is an important development direction of the World Wide Web, which provides the basis for knowledge representation, reasoning, exchange and reuse on the World Wide Web. The knowledge map uses a set of "attribute-value" to describe the entities in it, and a single "attribute-value" pair can be expressed as <p i ,v i >, where p i Indicates an attribute, v i means p i some value of . An entity can be described as a collection of one or...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F17/27
CPCG06F16/367
Inventor 胡伟吕欣泽瞿裕忠
Owner NANJING UNIV
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