Visual Semantic Analysis to Support Semi-Automatic Modeling of Semantic Service Descriptions

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Author(s): Nadeem Bhatti (Fraunhofer IGD, Germany)and Dieter W. Fellner (TU Darmstadt, Graphisch-Interaktive Systeme & Fraunhofer IGD, Germany)
Copyright: 2011
Pages: 45
Source title: Modern Software Engineering Concepts and Practices: Advanced Approaches
Source Author(s)/Editor(s): Ali H. Dogru (Middle East Technical University, Turkey)and Veli Biçer (FZI Research Center for Information Technology, Germany)
DOI: 10.4018/978-1-60960-215-4.ch007

Keywords: Computer Engineering / Computer Science & IT / Information Science Reference / Systems & Software Design

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Abstract

The service-oriented architecture has become one of the most popular approaches for distributed business applications. A new trend service ecosystem is merging, where service providers can augment their core services by using business service delivery-related available functionalities like distribution and delivery. The semantic service description of services for the business service delivery will become a bottleneck in the service ecosystem. In this chapter, the Visual Semantic Analysis approach is presented to support semi-automatic modeling of semantic service description by combining machine learning and interactive visualization techniques. Furthermore, two application scenarios from the project THESEUS-TEXO (funded by German federal ministry of economics and technology) are presented as evaluation of the Visual Semantic Analysis approach.

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Visual Semantic Analysis to Support Semi-Automatic Modeling of Semantic Service Descriptions

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