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A hybrid semantic similarity measuring approach for annotating WSDL documents with ontology concepts

机译：一种使用本体概念注释WSDL文档的混合语义相似性度量方法

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摘要

Semantic annotation of legacy Web Services is one of the fast and efficient ways to implement Semantic Web Service paradigm. Semantic similarity between concepts in WSDL (Web Services Description Language) document and ontology concepts is the backbone of semantic annotation of legacy Web Services. The overwhelming majority of previous works focused mainly on semantic similarity of concepts in a specific domain ontology. However, the concepts used in Web Services are often from multiple sources or different domain ontologies. This makes traditional approaches no longer applicable. To address this, we propose a hybrid measuring approach to measure semantic similarity between concepts in WSDL documents and concepts in OWL (Ontology Web Language) files. The proposed approach mainly consists of two parts: lexical-level similarity measuring and structural-level similarity measuring. Specially, we fusion adopt three commonly used approaches, i.e., edge-based, feature-based, and information content-based semantic similarity measuring approaches. Specifically, we map the above mentioned three approaches to three proposed internal features, i.e., depth, width, and density, in the abstract tree structure when measuring structural-level similarity. We conduct experimental comparisons, and the results show that the proposed approach provides better accuracy. Furthermore, the proposed approach can be applied in any user defined Web Services description documents in theory with a wider range of application.
机译：遗留Web服务的语义注释是实现语义Web服务范例的快速有效的方法之一。 WSDL（Web服务描述语言）文档中的概念与本体概念之间的语义相似性是旧版Web Services语义注释的基础。先前的绝大多数工作主要集中在特定领域本体中概念的语义相似性。但是，Web服务中使用的概念通常来自多个来源或不同的领域本体。这使得传统方法不再适用。为了解决这个问题，我们提出了一种混合的测量方法来测量WSDL文档中的概念与OWL（本体网络语言）文件中的概念之间的语义相似性。所提出的方法主要包括两部分：词汇级相似度度量和结构级相似度度量。特别地，我们融合采用三种常用的方法，即基于边缘，基于特征和基于信息内容的语义相似性度量方法。具体而言，当测量结构级别的相似性时，我们将上述三种方法映射到抽象树结构中三个建议的内部特征，即深度，宽度和密度。我们进行了实验比较，结果表明所提出的方法提供了更好的准确性。此外，从理论上讲，该方法可以在任何用户定义的Web服务描述文档中应用，并且具有更广泛的应用范围。

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  • 作者

    Lu Wei; Yang Yong; Xing Weiwei; Che Xiaoping; Cai Yuanyuan; Wang Liqiang;

  • 作者单位

    School of Software Engineering, Beijing Jiaotong University, No. 3, Shangyuancun, Haidian District, Beijing, China;

    School of Software Engineering, Beijing Jiaotong University, No. 3, Shangyuancun, Haidian District, Beijing, China;

    School of Software Engineering, Beijing Jiaotong University, No. 3, Shangyuancun, Haidian District, Beijing, China;

    School of Software Engineering, Beijing Jiaotong University, No. 3, Shangyuancun, Haidian District, Beijing, China;

    School of Software Engineering, Beijing Jiaotong University, No. 3, Shangyuancun, Haidian District, Beijing, China;

    Department of Computer Science, University of Central Florida, Orlando, FL, United States;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Ontology; Semantic annotation; Semantic similarity; Semantic Web Services; Web Services;

    机译：本体论;语义注释;语义相似度;语义Web服务;网页服务;

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