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Impact of Using Relationships between Ontologies to Enhance the Ontology Search Results

机译:使用本体之间的关系来增强本体搜索结果的影响

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摘要

Using semantic web search engines, such as Watson, Swoogle or Sindice, to find ontologies is a complex exploratory activity. It generally requires formulating multiple queries, browsing pages of results, and assessing the returned ontologies against each other to obtain a relevant and adequate subset of ontologies for the intended use. Our hypothesis is that at least some of the difficulties related to searching ontologies stem from the lack of structure in the search results, where ontologies that are implicitly related to each other are presented as disconnected and shown on different result pages. In earlier publications we presented a software framework, Kannel, which is able to automatically detect and make explicit relationships between ontologies in large ontology repositories. In this paper, we present a study that compares the use of the Watson ontology search engine with an extension, Watson+Kannel, which provides information regarding the various relationships occurring between the result ontologies. We evaluate Watson+Kannel by demonstrating through various indicators that explicit relationships between ontologies improve users' efficiency in ontology search, thus validating our hypothesis.
机译:使用语义网络搜索引擎(例如Watson,Swoogle或Sindice)查找本体是一项复杂的探索活动。它通常需要制定多个查询,浏览结果页面以及相互评估返回的本体,以获得相关的且足够的本体子集用于预期用途。我们的假设是,与搜索本体有关的至少某些困难是由于搜索结果缺乏结构而导致的,其中彼此隐式关联的本体被显示为断开连接并显示在不同的结果页面上。在较早的出版物中,我们介绍了一个软件框架Kannel,该框架能够自动检测大型本体存储库中的本体并在它们之间建立明确的关系。在本文中,我们提出了一项研究,该研究将Watson本体搜索引擎与扩展名Watson + Kannel的使用进行了比较,该扩展提供了有关结果本体之间发生的各种关系的信息。我们通过证明各种本体之间的明确关系提高了用户在本体搜索中的效率的各种指标来评估Watson + Kannel,从而验证了我们的假设。

著录项

  • 来源
  • 会议地点 Heraklion(GR);Heraklion(GR)
  • 作者单位

    Knowledge Media Institute (KMi), The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom;

    Knowledge Media Institute (KMi), The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom;

    Knowledge Media Institute (KMi), The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机网络;计算机网络;
  • 关键词

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