Analogy Queries in Information Systems — A New Challenge

Christoph Lofi ()
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Christoph Lofi: National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku Tokyo 101-8430, Japan

Journal of Information & Knowledge Management (JIKM), 2013, vol. 12, issue 03, 1-13

Abstract: Besides the tremendous progress in web-related technologies, interfaces to access the web or large information systems have largely stayed at the level of keyword searches and categorical browsing. This paper introduces analogy queries as one of the essential techniques required to bridge the gap between today's interfaces and future interaction paradigms. The intuitive concept of analogies is directly derived from human cognition and communication practices, and is in fact often considered to be the core concept of human cognition. In brief, analogies form abstract relationships between concepts, which can be used to efficiently exchange information and knowledge needs or transmit even complex concepts including important connotations in a strictly human-centred and natural fashion. Building of analogy-enabled information systems opens up a number of interesting scientific challenges, e.g. how does communication using analogies work? How can this process be represented? How can information systems understand what a user provided analogy actually means? How can analogies be discovered? This paper aims at discussing some of these questions and is intended as a corner stone of future research efforts.

Keywords: Analogy processing; human-centred queries; information and knowledge systems; semantic query processing; knowledge-based queries (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1142/S0219649213500214

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