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A platform for research: civil engineering, architecture and urbanism
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 (editor) / Helal, Sumi (editor) / Gu, Tao (editor) / Mokhtari, Mounir (editor) / Roy, Patrice (author) / Abdulrazak, Bessam (author) / Belala, Yacine (author)
International Conference on Smart Homes and Health Telematics ; 2014 ; Denver, CO, USA
2014-12-27
10 pages
Article/Chapter (Book)
Electronic Resource
English
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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