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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
Buchkapitel, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Buchkapitel
Erschienen: 2011
Autor(en): Bhatti, Nadeem ; Fellner, Dieter W.
Art des Eintrags: Bibliographie
Titel: Visual Semantic Analysis to Support Semi-Automatic Modeling of Semantic Service Descriptions
Sprache: Englisch
Publikationsjahr: 2011
Verlag: IGI Global, Hershey
DOI: 10.4018/978-1-60960-215-4.ch007
Kurzbeschreibung (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.

Freie Schlagworte: 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
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 04 Feb 2022 12:40
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