| Title: |
Semantically-enhanced Authoring of Defeasible Logic Rule Bases in the Semantic Web |
| Author(s): |
E. Kontopoulos, T. Zetta, N. Bassiliades.
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| Availability: |
Click here to download the PDF (Acrobat Reader) file (4 pages).
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| Keywords: |
Semantic Web, RuleML, Rule Bases, Defeasible Logic, Non-monotonic Reasoning.
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| Appeared in: |
Proc. 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS'12), ACM, Article 56, pp. 489-492, Craiova, Romania, June 13-15, 2012, 2012.
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| Abstract: |
The Semantic Web represents an initiative to improve the current Web, by augmenting content with semantics and encouraging cooperation among human and software agents. The development of the logic and proof layers of the Semantic Web is currently concentrating the related research effort and is vital, since these layers allow systems to infer new knowledge from existing information, assisting them in explaining their actions and, ultimately, increasing user trust towards the Semantic Web. However, there is a lack of applications that could contribute towards developing logic-based applications. Consequently, users resort to inadequate tools that offer syntactic support, without being able to support the user semantically as well. This work presents S2DRREd, a software tool that introduces a supplementary level of semantic assistance during rule base development. The tool allows creating meta-models of the main notions of the loaded rule sets and assists the user in authoring rule bases, independently of the explicitly chosen rule language syntax. The domain of application is defeasible logic, a type of logic that allows reasoning with incomplete and conflicting information and, as such, it can play an increasingly important role in a drastically dynamic environment like the Web. |
| See also : |
S2Red
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This paper has been cited by the following:
| 1 |
Yasir Javed, “Design and Evaluation of Mass Evacuation Support Systems Using Ontologies for improved Situation Awareness”, Phd dissertation, Information Sciences, Massey University, Albany, New Zealand, 2012. |
| 2 |
Moawad, A., Bikakis, A., Caire, P., Nain, G., Traon, Y. L., "R-CoRe: A Rule-Based Contextual Reasoning Platform for Ambient Intelligence Environments". RuleML 2013: 158-172. |
| 3 |
Davide Sottara, Robert Greenes, Peter Haug, Edinardo Potrich, Matthew Ebert, “The Health eDecisions Authoring Environment for Shareable Clinical Decision Support Artifacts”, Proceedings of the RuleML 2014 Challenge and the RuleML 2014 Doctoral Consortium hosted by the 8th International Web Rule Symposium (RuleML 2014), Prague, Czech Republic, August 18-20, 2014, CEUR Workshop Proceedings, Vol. 1211. |
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