Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

A Semantic Web Blackboard System

McKenzie, Craig, Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 and Gray, Peter 2007. A Semantic Web Blackboard System. Presented at: AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 11-13 December 2006. Published in: Bramer, Max, Coenen, Frans and Tuson, Andrew eds. Research and Development in Intelligent Systems XXIII: Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. London: Springer, pp. 275-288. 10.1007/978-1-84628-663-6_20

Full text not available from this repository.

Abstract

In this paper, we propose a Blackboard Architecture as a means for coordinating hybrid reasoning over the Semantic Web. We describe the components of traditional blackboard systems (Knowledge Sources, Blackboard, Controller) and then explain how we have enhanced these by incorporating some of the principles of the Semantic Web to produce our Semantic Web Blackboard. Much of the framework is already in place to facilitate our research: the communication protocol (HTTP); the data representation medium (RDF); a rich expressive description language (OWL); and a method of writing rules (SWRL). We further enhance this by adding our own constraint based formalism (CIF/SWRL) into the mix. We provide an example walk-though of our test-bed system, the AKTive Workgroup Builder and Blackboard(AWB+B), illustrating the interaction and cooperation of the Knowledge Sources and providing some context as to how the solution is achieved. We conclude with the strengths and weaknesses of the architecture.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Additional Information: Book Part - session 4.
Publisher: Springer
ISBN: 9781846286629
Related URLs:
Last Modified: 24 Oct 2022 10:53
URI: https://orca.cardiff.ac.uk/id/eprint/46303

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item