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2014 | OriginalPaper | Chapter

On Fuzzy Extensions to Energy Ontologies for Text Processing Applications

Authors : Dilek Küçük, Doğan Küçük, Adnan Yazıcı

Published in: Information Sciences and Systems 2014

Publisher: Springer International Publishing

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Abstract

Ubiquitous application areas of domain ontologies include text processing applications like categorizing related documents of the domain, extraction of information from these documents, and semantic search. In this paper, we focus on the utilization of two energy ontologies, one for electrical power quality and the second for wind energy, within such applications. For this purpose, we present fuzzy extensions to these domain ontologies as fuzziness is an essential feature of the ultimate forms of the ontologies to enhance such text analysis applications in the energy domain. A text categorization system for scholarly articles based on the extended power quality ontology is also presented for illustrative purposes together with its performance evaluation results.

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Footnotes
1
Smart grid is usually defined as an enhanced electricity grid in which the components involved like the substations, centers, and the communication framework are more automated, reliable, and efficient since information and communication technology is employed [10, 11].
 
2
Depending on the interpretation, text analysis applications can well be considered as part of Semantic Web applications or knowledge-based systems.
 
3
The journal names are given as denoted in the Reference Abbreviation column of the related IEEE document available at http://​www.​ieee.​org/​documents/​tjmnames.​pdf.
 
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Metadata
Title
On Fuzzy Extensions to Energy Ontologies for Text Processing Applications
Authors
Dilek Küçük
Doğan Küçük
Adnan Yazıcı
Copyright Year
2014
Book
Information Sciences and Systems 2014

Print ISBN: 978-3-319-09464-9

Electronic ISBN: 978-3-319-09465-6

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-09465-6_10

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