Difference between revisions of "Research on the Methods of Ontology Construction based on Wikipedia and Dublin Core"
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| − | '''Research on the Methods of Ontology Construction based on Wikipedia and Dublin Core''' - scientific work related to Wikipedia quality published in 2014, written by Wu Tian-j. | + | '''Research on the Methods of Ontology Construction based on Wikipedia and Dublin Core''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Wu Tian-j]]. |
== Overview == | == Overview == | ||
| − | Tagging, which is associated with the concepts of knowledge bases of all kinds such as WordNet and online ontology resources, is the basic approach for ontology construction. However, information stored in knowledge databases is usually fixed, static and somewhat inconsistent. This paper uses descriptive tags to create ontology for specific services on the basis of Wikipedia, and then evaluates the new ontology by the vocabulary from WordNet. | + | Tagging, which is associated with the concepts of knowledge bases of all kinds such as [[WordNet]] and online [[ontology]] resources, is the basic approach for ontology construction. However, information stored in knowledge databases is usually fixed, static and somewhat inconsistent. This paper uses descriptive tags to create ontology for specific services on the basis of [[Wikipedia]], and then evaluates the new ontology by the vocabulary from WordNet. |
Revision as of 23:59, 10 July 2019
Research on the Methods of Ontology Construction based on Wikipedia and Dublin Core - scientific work related to Wikipedia quality published in 2014, written by Wu Tian-j.
Overview
Tagging, which is associated with the concepts of knowledge bases of all kinds such as WordNet and online ontology resources, is the basic approach for ontology construction. However, information stored in knowledge databases is usually fixed, static and somewhat inconsistent. This paper uses descriptive tags to create ontology for specific services on the basis of Wikipedia, and then evaluates the new ontology by the vocabulary from WordNet.
