Amongst different context modeling approaches such as: (1) key-value pairs; (2) model-oriented; (3) logic-based; (4) ontologies [25], we are motivated for choosing ontology in context modeling and reasoning. Some of the prominent work using ontologies as a based model is discussed, which includes SOCAM, CoBrA, COSAR, etc. SOCAM [26] is a Service-oriented Context-Aware Middleware that works on server-based architecture style with underlying ontology. This provides context-aware services in smart home and vehicle environment. It supports information sensing, semantic representation, and reasoning of context using SOCAM ontology by modeling person, activities along with locations leaving out nutrition contextual aspects. At the same time, CoBrA [27] is also an agent-based centralized middleware architecture connecting context modeling, reasoning, knowledge sharing through context brokers in an intelligent meeting room for places, agents and events only. COSAR [28] recognizes human activities and reasons context-awareness through hybrid reasoning techniques, i.e., ontological/statistical using mobile network services. However, it also focuses only on performed activities and their location in an activity recognition system.
Windows 8 finally supports SMART
Download Zip: https://shurll.com/2vKUoF
2ff7e9595c
Comments