Protoforms of Linguistic Database Summaries as a Human Consistent Tool for Using Natural Language in Data Mining

Janusz Kacprzyk; Slawomir Zadrozny

doi:10.4018/jssci.2009010107

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Protoforms of Linguistic Database Summaries as a Human Consistent Tool for Using Natural Language in Data Mining

Janusz Kacprzyk (Polish Academy of Sciences, Poland) and Slawomir Zadrozny (Polish Academy of Sciences, Poland)

Source Title: International Journal of Software Science and Computational Intelligence (IJSSCI) 1(1)

DOI: 10.4018/jssci.2009010107

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Abstract

We consider linguistic database summaries in the sense of Yager (1982), in an implementable form proposed by Kacprzyk & Yager (2001) and Kacprzyk, Yager & Zadrozny (2000), exemplified by, for a personnel database, “most employees are young and well paid” (with some degree of truth) and their extensions as a very general tool for a human consistent summarization of large data sets. We advocate the use of the concept of a protoform (prototypical form), vividly advocated by Zadeh and shown by Kacprzyk & Zadrozny (2005) as a general form of a linguistic data summary. Then, we present an extension of our interactive approach to fuzzy linguistic summaries, based on fuzzy logic and fuzzy database queries with linguistic quantifiers. We show how fuzzy queries are related to linguistic summaries, and that one can introduce a hierarchy of protoforms, or abstract summaries in the sense of latest Zadeh’s (2002) ideas meant mainly for increasing deduction capabilities of search engines. We show an implementation for the summarization of Web server logs.

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Protoforms of Linguistic Database Summaries as a Human Consistent Tool for Using Natural Language in Data Mining

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