The Open UniversitySkip to content

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 Jul 2010, Miami, Florida, pp. 497–503.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (940kB)
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


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 or Workshop 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/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 23051
Depositing User: Kay Dave
Date Deposited: 22 Sep 2010 11:20
Last Modified: 15 Jan 2019 04:31
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU