On Fuzzy Extensions to Energy Ontologies for Text Processing Applications


Kucuk D., Kucuk D., YAZICI A.

29th Annual Symposium on Computer and Information Sciences, Krakow, Polonya, 27 - 28 Ekim 2014, ss.87-95 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1007/978-3-319-09465-6_10
  • Basıldığı Şehir: Krakow
  • Basıldığı Ülke: Polonya
  • Sayfa Sayıları: ss.87-95
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.