Abstract
Autonomic Agents in Open intelligent space face a wide diversity of Context providers and formats. With a micro approach to Context-awareness, individual Agents perform their own assessment of individual Context relevance. This assessment relies in part on the semantic proximity between requested and candidate Contexts. We present a quantitative semantic distance function that supports subjective Context relevance assessment in Agents.
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CITATION STYLE
Roy, P., Abdulrazak, B., & Belala, Y. (2015). Quantifying semantic proximity between contexts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8456, pp. 165–174). Springer Verlag. https://doi.org/10.1007/978-3-319-14424-5_18
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