Hybrid semantic retrieval = user-community profiling + domain knowledge + content-based retrieval

Qing Li, Haoran Xie, Wei Chen, Lijuan Yu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


The paradigm of Content-based retrieval (CBR) with query-by-example (QBE) has been prevailing in multimedia applications and systems. While the CRB/QBE approach is easy to use from the end-user's perspective, it is not always possible for a user to prepare/have a suitable "example" in hand; besides, the lack of semantics inherent to this approach may cause strange things to happen (e.g., funny results) . In this paper, we argue that multimedia retrieval should be knowledge-based and semantics-driven, preferably with personalization support. Through a case study on a distributed multimedia recipe database (DMRD) system, we show that User-community Profiling + Domain Knowledge + CBR (including keywords/QBE) is an effective way to go forward. Experiments on a prototype of DMRD system demonstrate the feasibility and effectiveness of such a hybrid approach we are advocating.

Original languageEnglish
Title of host publication2009 Joint Conferences on Pervasive Computing, JCPC 2009
Number of pages8
Publication statusPublished - 1 Dec 2009
Externally publishedYes
Event2009 Joint Conferences on Pervasive Computing, JCPC 2009 - Tamsui, Taipei, Taiwan
Duration: 3 Dec 20095 Dec 2009

Publication series

Name2009 Joint Conferences on Pervasive Computing, JCPC 2009


Conference2009 Joint Conferences on Pervasive Computing, JCPC 2009
CityTamsui, Taipei


  • Content-based information tretieval
  • Multimedia database
  • Peer-to-peer network
  • Personalization
  • Recipe database

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Science Applications
  • Software

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