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Two-staged approach for semantically annotating and brokering TV-related services

Yu, Hong Qing; Benn, Neil; Dietze, Stefan; Pedrinaci, Carlos; Liu, Dong; Domingue, John and Siebes, Ronald (2010). Two-staged approach for semantically annotating and brokering TV-related services. In: The IEEE International Conference on Web Services (ICWS), 5-10 July 2010, Miami, Florida, pp. 497–503.

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DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1109/ICWS.2010.97
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Abstract

Nowadays, more and more distributed digital TV and TV-related resources are published on the Web, such as Electronic Personal TV Guide (EPG) data. To enable applications to access these resources easily, the TV resource data is commonly provided by Web service technologies. The huge variety of data related to the TV domain and the wide range of services that provide it, raises the need to have a broker to discover, select and orchestrate services to satisfy the runtime requirements of applications that invoke these services. The variety of data and heterogeneous nature of the service capabilities makes it a challenging domain for automated web-service discovery and composition. To overcome these issues, we propose a two-stage service annotation approach, which is resolved by integrating Linked Services and IRS-III semantic web services framework, to complete the lifecycle of service annotating, publishing, deploying, discovering, orchestration and dynamic invocation. This approach satisfies both developer's and application's requirements to use Semantic Web Services (SWS) technologies manually and automatically.

Item Type: Conference Item
Copyright Holders: 2010 IEEE
Extra Information: Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Keywords: digital TV; linked data; linked services; Semantic Web; Semantic Web services
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 23051
Depositing User: Kay Dave
Date Deposited: 22 Sep 2010 11:20
Last Modified: 08 Aug 2013 08:44
URI: http://oro.open.ac.uk/id/eprint/23051
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