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Quantifying Semantic Proximity Between Contexts
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.
Quantifying Semantic Proximity Between Contexts
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.
Quantifying Semantic Proximity Between Contexts
Lect.Notes Computer
Bodine, Cathy (Herausgeber:in) / Helal, Sumi (Herausgeber:in) / Gu, Tao (Herausgeber:in) / Mokhtari, Mounir (Herausgeber:in) / Roy, Patrice (Autor:in) / Abdulrazak, Bessam (Autor:in) / Belala, Yacine (Autor:in)
International Conference on Smart Homes and Health Telematics ; 2014 ; Denver, CO, USA
27.12.2014
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Context , Context-awareness , Autonomic agents , Semantic distance , Semantic proximity Computer Science , Special Purpose and Application-Based Systems , User Interfaces and Human Computer Interaction , Information Systems Applications (incl. Internet) , Artificial Intelligence , Image Processing and Computer Vision
Quantifying Semantic Proximity Between Contexts
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