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Negotiating the semantic gap: From feature maps to semantic landscapes

  • University of Michigan, Dearborn

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

In this paper, we present the results of our work that seeks to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This work concerns a technique, latent semantic indexing (LSI), which has been used for textual information retrieval for many years. In this environment, LSI determines clusters of co-occurring keywords, sometimes, called concepts, so that a query which uses a particular keyword can then retrieve documents perhaps not containing this keyword, but containing other keywords from the same cluster. In this paper, we examine the use of this technique for content-based web document retrieval, using both keywords and image features to represent the documents.

Original languageEnglish
Title of host publicationSOFSEM 2001
Subtitle of host publicationTheory and Practice of Informatics - 28th Conference on Current Trends in Theory and Practice of Informatics, Proceedings
EditorsLeszek Pacholski, Peter Ruzicka
PublisherSpringer Verlag
Pages33-52
Number of pages20
ISBN (Print)9783540429128
DOIs
StatePublished - 2001
Event28th International Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2001 - Piestany, Slovakia
Duration: Nov 24 2001Dec 1 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2234
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference28th International Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2001
Country/TerritorySlovakia
CityPiestany
Period11/24/0112/1/01

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