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Challenges on Semantic Web Services

Challenges on Semantic Web Services

Maria Vargas-Vera, Miklos Nagy, Dominik Zyskowski, Konstanty Haniewicz, Witold Abramowicz
Copyright: © 2011 |Pages: 24
ISBN13: 9781609601003|ISBN10: 1609601009|EISBN13: 9781609601010
DOI: 10.4018/978-1-60960-100-3.ch702
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MLA

Vargas-Vera, Maria, et al. "Challenges on Semantic Web Services." Virtual Communities: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, IGI Global, 2011, pp. 2134-2157. https://doi.org/10.4018/978-1-60960-100-3.ch702

APA

Vargas-Vera, M., Nagy, M., Zyskowski, D., Haniewicz, K., & Abramowicz, W. (2011). Challenges on Semantic Web Services. In I. Management Association (Ed.), Virtual Communities: Concepts, Methodologies, Tools and Applications (pp. 2134-2157). IGI Global. https://doi.org/10.4018/978-1-60960-100-3.ch702

Chicago

Vargas-Vera, Maria, et al. "Challenges on Semantic Web Services." In Virtual Communities: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, 2134-2157. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-100-3.ch702

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Abstract

The promise of being able to support Business-to-Customer applications with a rapidly growing number of heterogeneous services available on the Semantic Web has generated considerable interest in different research communities (e.g., Semantic Web, knowledge representation, software agents). However, in order to overcome the challenges of the current Web services, new level of functionalities is required in order to integrate distributed software components using existing Semantic Web standards. In this chapter, the authors discuss and suggest insights into new solutions to the main challenges in the area of Semantic Web services: composition, discovery and trust. For the first problem they suggest to use program transformation coupled with services’ descriptions. For the second problem (discovery of Web services) a solution based on the authors’ mapping algorithm between ontologies is suggested. While, for the last problem a solution based on fuzzy voting model is outlined. Through the chapter, the authors work with an investing scenario, in order to illustrate our suggested solutions to these three challenges.

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