Selectively materializing data in mediators by analyzing source structure, query distribution and maintenance cost

Authors:
Naveen Ashish;Craig A. Knoblock;Cyrus Shahabi
Affiliations:
Information Sciences Institute, Integrated Media Systems Center and Department of Computer Science, University of Southern California, 4676 Admiralty Way, Marina del Rey, CA;Information Sciences Institute, Integrated Media Systems Center and Department of Computer Science, University of Southern California, 4676 Admiralty Way, Marina del Rey, CA;Information Sciences Institute, Integrated Media Systems Center and Department of Computer Science, University of Southern California, 4676 Admiralty Way, Marina del Rey, CA
Venue:
Proceedings of the 2nd international workshop on Web information and data management
Year:
1999

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Abstract

We present an approach to selecting data to materialize in Web based information mediators by analyzing multiple factors. An issue in building Web based information mediators is how to improve the query response time given the high response time for retrieving data from remote Web sources. We had earlier presented a framework for optimizing the performance of information mediators by selectively materializing data. In this paper we describe our approach for automatically selecting the portion of data that must be materialized by analyzing a combination of several factors, namely the distribution of user queries, the structure of sources and the update cost.