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Automatically Constructing Semantic Web Services from Online Sources
 

Summary: Automatically Constructing Semantic Web
Services from Online Sources
Jos┤e Luis Ambite, Sirish Darbha, Aman Goel, Craig A. Knoblock,
Kristina Lerman, Rahul Parundekar, and Thomas Russ
University of Southern California
Information Sciences Institute
4676 Admiralty Way
Marina del Rey, CA 90292
{ambite,darbha,amangoel,knoblock,lerman,parundek,tar}@isi.edu
Abstract. The work on integrating sources and services in the Seman-
tic Web assumes that the data is either already represented in RDF or
OWL or is available through a Semantic Web Service. In practice, there
is a tremendous amount of data on the Web that is not available through
the Semantic Web. In this paper we present an approach to automati-
cally discover and create new Semantic Web Services. The idea behind
this approach is to start with a set of known sources and the correspond-
ing semantic descriptions and then discover similar sources, extract the
source data, build semantic descriptions of the sources, and then turn
them into Semantic Web Services. We implemented an end-to-end solu-
tion to this problem in a system called Deimos and evaluated the system

  

Source: Ambite, JosÚ Luis - Information Sciences Institute & Department of Computer Science, University of Southern California
Russ, Thomas A. - Information Sciences Institute, University of Southern California

 

Collections: Computer Technologies and Information Sciences