Implementing an image search system with integrating social tags and DBpedia

Chie Iijima, Makito Kimura, Takahira Yamaguchi

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

4 Citations (Scopus)

Abstract

Although the number of recommending system has increased, many of the existing recommending systems often only offer general-purpose information. In the case of multimedia searches, novelty and unexpectedness are seen as particularly important. In this paper, we propose an image search method with a high degree of unexpectedness by integrating the social tag of Flickr and DBpedia, and using preference data from search logs. We also propose an image search system named Linked Flickr Search, which implemented the proposed method. By evaluation with an unexpectedness index, and by comparing the basic Flickr search functions and flickr wrappr, which is related research, we confirmed that particularly in the initial stages of the search, our proposed system was possible to recommend highly unexpected images.

Original languageEnglish
Title of host publicationKnowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings
Pages264-272
Number of pages9
EditionPART 3
DOIs
Publication statusPublished - 2010 Nov 23
Event14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010 - Cardiff, United Kingdom
Duration: 2010 Sep 82010 Sep 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume6278 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010
CountryUnited Kingdom
CityCardiff
Period10/9/810/9/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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