Abstract
The aim of this paper is to illustrate how a probabilistic Description Logics, called DL P, can be exploited for reasoning about information sources characterized by heterogeneous formats and structures. The paper first introduces DL P syntax and semantics. Then, a DL P-based approach is illustrated for inferring complex knowledge assertions from information sources characterized by heterogeneities in formats and representational structures. The thus obtained complex knowledge assertions can be exploited for constructing a user profile and for improving the quality of present Web search tools.
Keywords
- Information Source
- Description Logic
- Semantic Distance
- Class Expression
- European Social Fund
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Palopoli, L., Terracina, G., Ursino, D. (2002). A Plausibility Description Logics for Reasoning with Information Sources Having Different Formats and Structures. In: Hacid, MS., Raś, Z.W., Zighed, D.A., Kodratoff, Y. (eds) Foundations of Intelligent Systems. ISMIS 2002. Lecture Notes in Computer Science(), vol 2366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48050-1_7
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DOI: https://doi.org/10.1007/3-540-48050-1_7
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