A semantic space creation method with an adaptive axis adjustment mechanism for media data retrieval

Xing Chen, Yasushi Kiyoki, Kosuke Takano, Keisuke Masuda

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

1 Citation (Scopus)

Abstract

This paper presents a new semantic space creation method with an adaptive axis adjustment mechanism for media data retrieval. The semantic space is essentially required to search semantically related and appropriate information resources from media databases. In the method, data in the media databases are mapped as vectorized metadata on the semantic space. The distribution of the metadata on the semantic space is the main factor affecting the accuracy of the retrieval results. In the method, an adaptive axis adjustment mechanism is used to rotate and combine the semantic correlated axes on the semantic space, and remove axes from the semantic space. We demonstrated by experiments that when the semantic space is created and adjusted based on the semantic correlated factors, the metadata are appropriately and sharply distributed on the semantic space.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XIX
PublisherIOS Press
Pages40-58
Number of pages19
ISBN (Print)9781586038120
Publication statusPublished - 2008 Jan 1

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume166
ISSN (Print)0922-6389

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ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Chen, X., Kiyoki, Y., Takano, K., & Masuda, K. (2008). A semantic space creation method with an adaptive axis adjustment mechanism for media data retrieval. In Information Modelling and Knowledge Bases XIX (pp. 40-58). (Frontiers in Artificial Intelligence and Applications; Vol. 166). IOS Press.