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Linguistic Data Summarization: A High Scalability through the Use of Natural Language?

Linguistic Data Summarization: A High Scalability through the Use of Natural Language?

Janusz Kacprzyk, Slawomir Zadrozny
Copyright: © 2010 |Pages: 24
ISBN13: 9781605668581|ISBN10: 1605668583|ISBN13 Softcover: 9781616924478|EISBN13: 9781605668598
DOI: 10.4018/978-1-60566-858-1.ch008
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MLA

Kacprzyk, Janusz, and Slawomir Zadrozny. "Linguistic Data Summarization: A High Scalability through the Use of Natural Language?." Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, edited by Anne Laurent and Marie-Jeanne Lesot, IGI Global, 2010, pp. 214-237. https://doi.org/10.4018/978-1-60566-858-1.ch008

APA

Kacprzyk, J. & Zadrozny, S. (2010). Linguistic Data Summarization: A High Scalability through the Use of Natural Language?. In A. Laurent & M. Lesot (Eds.), Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design (pp. 214-237). IGI Global. https://doi.org/10.4018/978-1-60566-858-1.ch008

Chicago

Kacprzyk, Janusz, and Slawomir Zadrozny. "Linguistic Data Summarization: A High Scalability through the Use of Natural Language?." In Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, edited by Anne Laurent and Marie-Jeanne Lesot, 214-237. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-858-1.ch008

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Abstract

The authors discuss aspects related to the scalability of data mining tools meant in a different way than whether a data mining tool retains its intended functionality as the problem size increases. They introduce a new concept of a cognitive (perceptual) scalability meant as whether as the problem size increases the method remains fully functional in the sense of being able to provide intuitively appealing and comprehensible results to the human user. The authors argue that the use of natural language in the linguistic data summaries provides a high cognitive (perceptional) scalability because natural language is the only fully natural means of human communication and provides a common language for individuals and groups of different backgrounds, skills, knowledge. They show that the use of Zadeh’s protoform as general representations of linguistic data summaries, proposed by Kacprzyk and Zadrozny (2002; 2005a; 2005b), amplify this advantage leading to an ultimate cognitive (perceptual) scalability.

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