چکیده مقاله
Context aware computing includes applications that can sense, react, and adapt to their environment Context is any information that characterizes the situation of an entity Context, as intended in this paper, can be consideredas a specific type of knowledge Thus, it is quite natural to investigate any known framework for knowledgerepresentation, and reasoning may be appropriate for handling context The tradeoff between expressiveness andreasoning complexity has driven most of the research in symbolic knowledge representation in the last two decades Ontological models have clear advantages regarding support for interoperability and heterogeneity andparticularly well suited to the recognition of high level context abstractions However, ontological models aloneare generally unsuited to the recognition of simpler context data, such as, e g , basic physical activities Butontologies are not well suited to represent some dynamic context data, such as users adaptation preferences and other requirements, such as mobility and timeliness Therefore, ontological models should be integrated with other models or at least statistical machine learning methods Hence, in this research, a hybrid of spatial and ontology models is proposed Combining ontology and spatial data, advantages such as mobility and timeliness are added to the other advantages of the ontology based model
کلیدواژهها
نویسندگان
Nasim Khozouie
Department of computer Engineering &IT, QomUniversity, Qom, Iran
Faranak Fotouhi-Ghazvini
Department of computer Engineering &IT, Qom University, Qom, Iran
Behrouz Minaei-Bidgoli
Department of computer Engineering, Iran University of Science and Technology, Tehran, Iran
شیوه ارجاع
Khozouie, Nasim and Fotouhi-Ghazvini, Faranak and Minaei-Bidgoli, Behrouz,1395,Context-aware modeling for transmitted spatio-Temporal data from wireless body sensor network,4th National Congress of Electrical and Computer Engineering of Iran,Tehran
ارائهشده در
مجموعه مقالات چهارمین کنفرانس بین المللی مهندسی برق و کامپیوتر23 دی 1395 · تهران