Hawkeye: a practical large scale demonstration of semantic web integration

  • Authors:

  • Zhengxiang Pan;Abir Qasem;Sudhan Kanitkar;Fabiana Prabhakar;Jeff Heflin

  • Affiliations:

  • Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA;Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA;Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA;Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA;Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA

  • Venue:
  • OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
  • Year:
  • 2007

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Abstract

We discuss our DLDB knowledge base system and evaluate its capability in processing a very large set of real-world Semantic Web data. Using DLDB, we have constructed the Hawkeye knowledge base, in which we have loaded more than 166 million facts from a diverse set of real-world data sources. We use this knowledge base to demonstrate realistic integration queries in e-government and academic scenarios. In order to support Hawkeye, we extended DLDB with additional reasoning capabilities. At present, the Semantic Web consists of numerous independent ontologies.We demonstrate that OWL can be used to integrate these ontologies and thereby integrate the data sources that commit to them. In terms of performance, we show that the load time of our system is linear on the number of triples loaded. Furthermore, we show that many complex queries have response times under one minute, and that simple queries can be answered in seconds.