Visual Semantic Analysis to Support Semi-Automatic Modeling of Semantic Service Descriptions-Reference-Cited by-同舟云学术

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

Published:2012 Issue: Volume: Page:986-1033
ISSN:
Container-title:Machine Learning
language:
Short-container-title:

Author:

Bhatti Nadeem¹,Fellner Dieter W.²

Affiliation:

1. Fraunhofer IGD, Germany

2. TU Darmstadt, Graphisch-Interaktive Systeme & Fraunhofer IGD, Germany

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.

Publisher

IGI Global

Reference98 articles.

1. Value Webs: using ontologies to bundle real-world services

2. Service system fundamentals: Work system, value chain, and life cycle

3. Ankolekar, A., Hobbs, J. R., Lassila, O., Martin, D. L., McIlraith, S. A., Narayanan, S., et al. (2001). DAML-S: semantic markup for Web services. In proceedings of the first Semantic Web Working Symposium (SWWS), (p. 4). Stanford University.

4. Baida, Z., Gordijn, J. & Akkermans, H. (2001). Service ontology. OBELIX Deliverable 6.1 / Free University Amsterdam–Forschungsbericht.

5. BarrettM.DavidsonE.MiddletonC.De-GrossJ. I. (2008). Information Technology in the service economy: Challenges and possibilities for the 21st Century. Springer Publishing Company. 10.1007/978-0-387-09768-8

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