Hybrid retrieval from the unified web

  • Authors:
  • Trivikram Immaneni;Krishnaprasad Thirunarayan

  • Affiliations:
  • Wright State University, Dayton, OH;Wright State University, Dayton, OH

  • Venue:
  • Proceedings of the 2007 ACM symposium on Applied computing
  • Year:
  • 2007

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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.