The dynamic generation of refining categories in ontology-based search

Yongjun Zhu, Dongkyu Jeon, Wooju Kim, June S. Hong, Myungjin Lee, Zhuguang Wen, Yanhua Cai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


In the era of information revolution, the amount of digital contents is growing explosively with the advent of personal smart devices. The consumption of the digital contents makes users depend heavily on search engines to search what they want. Search requires tedious review of search results from users currently, and so alleviates it; predefined and fixed categories are provided to refine results. Since fixed categories never reflect the difference of queries and search results, they often contain insensible information. This paper proposes a method for the dynamic generation of refining categories under the ontology-based semantic search systems. It specifically suggests a measure for dynamic selection of categories and an algorithm to arrange them in an appropriate order. Finally, it proves the validity of the proposed approach by using some evaluative measures.

Original languageEnglish
Title of host publicationSemantic Technology - Second Joint International Conference, JIST 2012, Proceedings
Number of pages13
Publication statusPublished - 2013
Event2nd Joint International Conference on Semantic Technology, JIST 2012 - Nara, Japan
Duration: 2012 Dec 22012 Dec 4

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7774 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2nd Joint International Conference on Semantic Technology, JIST 2012

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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