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Daqing Zhang
Researcher at Peking University
Publications - 355
Citations - 20924
Daqing Zhang is an academic researcher from Peking University. The author has contributed to research in topics: Context (language use) & Mobile computing. The author has an hindex of 67, co-authored 331 publications receiving 16675 citations. Previous affiliations of Daqing Zhang include Institut Mines-Télécom & Institute for Infocomm Research Singapore.
Papers
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Proceedings ArticleDOI
Ontology based context modeling and reasoning using OWL
TL;DR: An OWL encoded context ontology (CONON) is proposed for modeling context in pervasive computing environments, and for supporting logic-based context reasoning, and provides extensibility for adding domain-specific ontology in a hierarchical manner.
Journal ArticleDOI
A service-oriented middleware for building context-aware services
TL;DR: A Service-Oriented Context-Aware Middleware architecture for the building and rapid prototyping of context-aware services and a formal context model based on ontology using Web Ontology Language to address issues including semantic representation, context reasoning, context classification and dependency are proposed.
Journal ArticleDOI
Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs
TL;DR: A STAP model is proposed that first models the spatial and temporal activity preference separately, and then uses a principle way to combine them for preference inference, and a context-aware fusion framework is put forward to combine the temporal and spatial activity preference models for preferences inference.
Journal ArticleDOI
RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices
TL;DR: RT-Fall exploits the phase and amplitude of the fine-grained Channel State Information accessible in commodity WiFi devices, and for the first time fulfills the goal of segmenting and detecting the falls automatically in real-time, which allows users to perform daily activities naturally and continuously without wearing any devices on the body.
Posted Content
An Ontology-based Context Model in Intelligent Environments
TL;DR: A formal context model based on ontology using OWL is proposed to address issues including semantic context representation, context reasoning and knowledge sharing, context classification, context dependency and quality of context.