Hybrid retrieval from the unified web
Year: 2007
Type: conference-paper
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.
Institution: Wright State University
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2073455058
