Survey of Semantic Similarity Measures in Pervasive Computing

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Provided by: International Journal on Smart Sensing and Intelligent Systems
Topic: Hardware
Format: PDF
Semantic similarity measures usage is prevalent in pervasive computing with the following aims: to compare the components of an application; to recommend and rank services by degree of relevance; to identify services by matching the description of a query with the available services; to compare the current context with already known contexts. The existing papers that apply semantic similarity measures to pervasive computing focus on one particular issue. Furthermore, surveys in this domain are limited to the recommendation or discovery of context-aware services.
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