Semi-automatic construction of a domain ontology for wind energy using Wikipedia articles

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Kucuk D., Arslan Y.

RENEWABLE ENERGY, vol.62, pp.484-489, 2014 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 62
  • Publication Date: 2014
  • Doi Number: 10.1016/j.renene.2013.08.002
  • Journal Name: RENEWABLE ENERGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.484-489
  • Keywords: Wind energy, Wind power, Domain ontology, Text mining, Web mining, SEMANTIC WEB
  • Middle East Technical University Affiliated: Yes


Domain ontologies are important information sources for knowledge-based systems. Yet, building domain ontologies from scratch is known to be a very labor-intensive process. In this study, we present our semi-automatic approach to building an ontology for the domain of wind energy which is an important type of renewable energy with a growing share in electricity generation all over the world. Related Wikipedia articles are first processed in an automated manner to determine the basic concepts of the domain together with their properties and next the concepts, properties, and relationships are organized to arrive at the ultimate ontology. We also provide pointers to other engineering ontologies which could be utilized together with the proposed wind energy ontology in addition to its prospective application areas. The current study is significant as, to the best of our knowledge, it proposes the first considerably wide-coverage ontology for the wind energy domain and the ontology is built through a semi-automatic process which makes use of the related Web resources, thereby reducing the overall cost of the ontology building process. (C) 2013 Elsevier Ltd. All rights reserved.