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

Bhatti, Nadeem ; Fellner, Dieter W. (2011)
Visual Semantic Analysis to Support Semi-Automatic Modeling of Semantic Service Descriptions.
doi: 10.4018/978-1-60960-215-4.ch007
Book Section, Bibliographie

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 THESEUSTEXO (funded by German federal ministry of economics and technology) are presented as evaluation of the Visual Semantic Analysis approach.

Item Type: Book Section
Erschienen: 2011
Creators: Bhatti, Nadeem ; Fellner, Dieter W.
Type of entry: Bibliographie
Title: Visual Semantic Analysis to Support Semi-Automatic Modeling of Semantic Service Descriptions
Language: English
Date: 2011
Publisher: IGI Global, Hershey
DOI: 10.4018/978-1-60960-215-4.ch007
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 THESEUSTEXO (funded by German federal ministry of economics and technology) are presented as evaluation of the Visual Semantic Analysis approach.

Uncontrolled Keywords: Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Business Field: Digital society, Business Field: Visual decision support, Research Area: Generalized digital documents, Web services, Modeling, Semantic modeling, Semantics visualization, Semantic web services
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
Last Modified: 04 Feb 2022 12:40
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