Semantic information retrieval on the web

Ebru Sezer, Adnan Yazici, Ünal Yarimaǧan

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

2 Citations (Scopus)

Abstract

In this study, a semantic information retrieval system to access web content is proposed. Web pages existing in the web contain not only textual but also visual data. When textual and visual data are combined, the semantics of the information presented in a web page becomes richer. Consequently, types of text body and visual data are queried as one entity in a single query sentence to improve the precision, recall and rnorm parameters of a web query. Fuzzy domain ontology to fill the gap between raw content and semantic features is used, and a model namely OAC (Object, Action and Concept) is proposed. The core of our system is the OAC Model used for fuzzy domain ontology derivation. The OAC Model serves both images and texts, equally. Several experiments are carried out on selected real web pages, and good results are obtained.

Original languageEnglish
Title of host publicationAdvances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings
PublisherSpringer Verlag
Pages158-167
Number of pages10
ISBN (Print)3540462910, 9783540462910
DOIs
Publication statusPublished - 2006
Event4th International Conference on Advances in Information Systems, ADVIS 2006 - Izmir, Turkey
Duration: Oct 18 2006Oct 20 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4243 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Advances in Information Systems, ADVIS 2006
Country/TerritoryTurkey
CityIzmir
Period10/18/0610/20/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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