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

机译:使用Wikipedia文章半自动构建风能领域本体

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摘要

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.
机译:领域本体是基于知识的系统的重要信息源。然而,众所周知,从头开始构建领域本体是一个非常劳动密集的过程。在这项研究中,我们介绍了我们的半自动方法来构建风能领域的本体,风能是一种重要的可再生能源,在全球发电中所占的份额越来越大。首先以自动化方式处理相关的Wikipedia文章,以确定领域的基本概念及其属性,然后组织这些概念,属性和关系,以形成最终的本体。我们还提供了指向其他工程本体的指针,这些本体除了可以应用于未来的应用领域之外,还可以与建议的风能本体一起使用。就我们所知,当前的研究意义重大,它提出了第一个相当广泛的风能领域本体,并且该本体是通过使用相关Web资源的半自动过程构建的,从而减少了本体构建过程的总体成本。

著录项

  • 来源
    《Renewable energy》 |2014年第2期|484-489|共6页
  • 作者

    Dilek Kuecuek; Yusuf Arslan;

  • 作者单位

    Power Electronics Department, TUEBITAK Energy Institute, 06531 Ankara, Turkey;

    Department of Computer Engineering, Middle East Technical University, 06531 Ankara, Turkey;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wind energy; Wind power; Domain ontology; Text mining; Web mining;

    机译:风能;风力;领域本体;文本挖掘;网络挖掘;

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