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A Book Ontology Matching Method Based on Machine Learning

A technology of machine learning and matching methods, which is applied in the direction of instruments, special data processing applications, network data retrieval, etc., can solve the problems that the characteristics of the book field cannot be analyzed and excavated, the matching effect is not satisfactory, and the practical requirements cannot be met.

Active Publication Date: 2017-06-30
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

However, there is no ontology matching system for the book field at present. Only a domain-independent ontology matching system is used to match the ontology of the book field, which cannot analyze and dig out the inherent characteristics of the book field ontology, so the matching effect is not satisfactory. , does not meet the practical requirements

Method used

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  • A Book Ontology Matching Method Based on Machine Learning
  • A Book Ontology Matching Method Based on Machine Learning
  • A Book Ontology Matching Method Based on Machine Learning

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Embodiment Construction

[0049] The following describes the implementation process of the present invention in detail with reference to the embodiments and the accompanying drawings.

[0050] The ontology matching method based on machine learning of the present invention includes the following 3 steps:

[0051] 1) For a given two to-be-matched book ontology, generate a to-be-matched instance pair set IP and a to-be-matched concept pair set CP:

[0052] Ontology is a specification proposed by the World Wide Web Consortium (W3C) to describe various resource information on the World Wide Web. The ontology described in the present invention is a book domain ontology, which is composed of book concepts, instances, attributes, and relationships. An instance refers to a specific object, a concept refers to an object type or a collection of instances, an attribute refers to the possible characteristics of an object or concept, and a relationship refers to the way in which objects, concepts, and objects and co...

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Abstract

The invention discloses a book body matching method based on machine learning, and mainly aims to solve the problem of difficulty in realizing body matching in the field of book processing. The method comprises the following steps: generating all instance pairs and concept pairs to be matched for two given book bodies, and mining equivalence relations between instances from all the instance pairs to be matched by using a heuristic instance matching rule and a decision model based on supervised learning in order to obtain an instance matching result; mining hyponymy relations and equivalence relations between concepts for all the concepts to be matched by using a label propagation algorithm based on semi-supervised learning in order to obtain a concept matching result; finally, combining the instance matching result and the concept matching result for serving as a book body matching result.

Description

technical field [0001] The invention belongs to the field of ontology matching, and relates to a book ontology matching method based on machine learning. Background technique [0002] In recent years, with the continuous development of the Semantic World Wide Web, more and more knowledge is published in the World Wide Web in the form of ontology. As a new and representative form of knowledge representation, ontology plays an important role in the development and deployment of the Semantic World Wide Web. More and more organizations and individuals build applications based on ontology in different fields, including e-commerce. , life sciences, social media, geographic information, and more. With the increasing number of ontologies in the Internet, there must be multiple ontologies originating from related or the same application fields. Due to the different construction methods of different ontologies originating from related or the same field, there must be great informati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/951
Inventor 吴天星漆桂林罗斌陆彬
Owner SOUTHEAST UNIV
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