Integrating Content Search with Structure Analysis for Hypermedia Retrieval and Management

Wen Syan Li, Kasim Candan

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Hypertext and hypermedia have emerged as primary means for structuring documents and for accessing the Web. It has two aspects: content and structural information. It is believed that integration of content search with structure analysis can improve hypermedia document retrieval and management; consequently increasing information utilization. This research topic has emerged as a main focus of many recent conferences and research communities, including computer-human interface, information retrieval, hypertext, databases, and Web. In this paper, we summarize the state-of-the-art techniques and functionalities of integrating content search with structure analysis for Web documents retrieval and management. Categories and Subject Descriptors: H.3.1 Information storage and retrieval Content Analysis and Indexing. [Abstracting methods] H.3.3 Information storage and retrieval Information Search and Retrieval [Information filtering].

Original languageEnglish (US)
Pages (from-to)13
Number of pages1
JournalACM Computing Surveys
Volume31
DOIs
StatePublished - Dec 1 1999
Externally publishedYes

Fingerprint

Hypermedia
Information retrieval
Retrieval
Hypertext
Document Retrieval
Information Retrieval
Information filtering
Data storage equipment
Information Filtering
Human-computer Interface
Interfaces (computer)
Content Analysis
Indexing
Descriptors

Keywords

  • Hypertext
  • Link analysis
  • organization
  • topic distillation
  • Web

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Integrating Content Search with Structure Analysis for Hypermedia Retrieval and Management. / Li, Wen Syan; Candan, Kasim.

In: ACM Computing Surveys, Vol. 31, 01.12.1999, p. 13.

Research output: Contribution to journalArticle

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