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T. Eiter, M. Fink, G. Sabbatini, H. Tompits:
"A Generic Approach for Knowledge-Based Information-Site Selection";
Talk: International Conference on Principles of Knowledge Representation and Reasoning (KR), Toulouse, France; 04-22-2002 - 04-27-2002; in: "Proceedings of the 8^th International Conference on Principles of Knowledge Representation and Reasoning (KR 2002)", D. Fensel, F. Giunchiglia, D. McGuinness, M.-A. Williams (ed.); Morgan Kaufmann, Toulouse, France (2002), ISBN: 1-55860-847-8; 459 - 469.

With the advent of the World Wide Web, a vast number of heterogenous information sources has become available. In order to access and process these data, suitable tools and methods for building an information infrastructure are necessary. One task for this purpose is the selection of relevant information sources in automated query answering. In this paper, we present an approach for information-site selection based on the answer set programming paradigm. We use extended logic programs to represent rich descriptions of the information sources, an underlying domain theory, and queries in a formal language. Moreover, we use extended logic programs also for declarative query analysis and query abstraction. The central part of our architecture are site-selection programs, representing both qualitative and quantitative criteria. Because of the structured nature of data items, the semantics of such programs, given in terms of prioritized logic programs, must carefully respect implicit context information in site-selection rules, and furthermore combine it with possible user preferences. An experimental prototype of the overall approach has been implemented using the DLV KR system and its PLP front-end for prioritized logic programs.