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Reducts‐driven query answering for distributed autonomous knowledge systems
Author(s) -
Raś Zbigniew W.
Publication year - 2002
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.10011
Subject(s) - computer science , semantics (computer science) , question answering , interpretation (philosophy) , query language , information retrieval , rough set , query expansion , theoretical computer science , data mining , programming language
In this article we show the role of equations and rules as definitions of attribute values. Such definitionscan be used in many ways but in this article we concentrate on their applications to intelligent queryanswering. They are used as a tool for knowledge exchange between independently built knowledge systems.TheIntelligent Query Answering System (IQAS) decides which sites are optimal for extracting definitionsneeded to solve a query. These optimal sets are identified by a search strategy based on rough sets theory,introduced by Z. Pawlak.8 We introduce the notion of shared operational semantics. Toput the shared operational semantics on a firm theoretical foundation we proposed a formal interpretation thatjustifies empirical equations and rules in their definitional role. © 2002 John Wiley & Sons, Inc.