Hybrid Retrieval from the Unified Web

Trivikram Immaneni, Krishnaprasad Thirunarayan

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

Abstract

The goal of Semantic Web initiative is to make the semantics of Web content accessible to machines. The Semantic Web has been evolving into a web of data separate from the existing HTML web. Our work focuses on establishing and exploiting connections between the two webs, especially hyperlink connections from the HTML web pages to the Semantic Web nodes, so as to enhance both data and document retrieval. We propose the Unified Web model to integrate the two webs, and a hybrid query language to retrieve data and documents from the Unified Web. Specifically, the query language amalgamates graph-based reasoning over RDF with keyword-based search.

Original languageAmerican English
Title of host publicationProceedings of the 2007 ACM Symposium on Applied Computing
PublisherAssociation for Computing Machinery
Pages1346-1350
Number of pages5
ISBN (Print)1595934804, 9781595934802
DOIs
StatePublished - Mar 11 2007
Event2007 ACM Symposium on Applied Computing - Seoul, Korea, Republic of
Duration: Mar 11 2007Mar 15 2007

Conference

Conference2007 ACM Symposium on Applied Computing
Country/TerritoryKorea, Republic of
CitySeoul
Period3/11/073/15/07

ASJC Scopus Subject Areas

  • Software

Keywords

  • Hierarchical Keyword Matching
  • Hybrid Query Language
  • Semantic Search
  • Semantic Web
  • Unified Web

Disciplines

  • Bioinformatics
  • Communication
  • Communication Technology and New Media
  • Computer Sciences
  • Databases and Information Systems
  • Life Sciences
  • OS and Networks
  • Physical Sciences and Mathematics
  • Science and Technology Studies
  • Social and Behavioral Sciences

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