International Journal of Human-Computer Studies
Jena: implementing the semantic web recommendations
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Semantic Space: An Infrastructure for Smart Spaces
IEEE Pervasive Computing
Ubiquitous Device Collaboration Infrastructure: Celadon
SEUS-WCCIA '06 Proceedings of the The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS-WCCIA'06)
Knowledge Representation with Ontologies: The Present and Future
IEEE Intelligent Systems
LUBM: A benchmark for OWL knowledge base systems
Web Semantics: Science, Services and Agents on the World Wide Web
Towards a complete OWL ontology benchmark
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
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To acquire hidden and potentially useful information from context data, ubiquitous computing services began taking advantage of the reasoning capabilities inherent in inference engines. However, since a traditional approach to evaluating inference engines' performance levels typically focuses on static information reasoning, specific evaluations of requirements that pertain to the ubiquitous computing environment have been largely neglected. Hence, this paper aims to propose an augmented evaluation framework for inference engines, and then examine how OWL-DL-based inference engines perform by applying them to realistic context-aware services. Six measurement criteria are proposed and measured, including scalability as data set gets large, responsiveness for users' requests, and adaptability to frequent inference requests.