A Context-aware System Architecture using Personal Information based on Ontology
ABSTRACT Context-aware applications can satisfy users' information needs without consuming too much time in discovering information adaptive to users. In this paper, we propose a personalized information system to provide more user-oriented information considering context information such as a personal profile with preferences, location, traffic condition, weather, time, event, and so on. Our system architecture is designed to support an effective execution usage on Web services and client applications. We implement a map viewer using a shape type of map format files with Points of Interest(PoI) information. Also, our system can provide associated search results from relations between the objects using context ontologies modeling created by the categorized layers of geospatial data.
- SourceAvailable from: uclm.esCommun. ACM. 01/2002; 45:136-144.
Conference Proceeding: The Role of Ontologies in Context-Aware Recommender Systems[show abstract] [hide abstract]
ABSTRACT: This position paper describes the role ontologies can play in Mobile Context-Aware recommender systems. In a Semantic Web vision of recommender systems, the adoption of ontologies for modeling the domain, the context and the adaptation process can contribute to tailor the right information/service to users and thus facilitate the user-system interaction and the system communication with other agents.Mobile Data Management, 2006. MDM 2006. 7th International Conference on; 06/2006
Conference Proceeding: OWL-based location ontology for context-aware services[show abstract] [hide abstract]
ABSTRACT: Diverse location-sensing technologies must be integrated to meet the requirements of generalized location-awareness in ubiquitous computing environments. A formal and comprehensive ontology -based modelling of location makes it possible to derive and inte-grate consistent high-level location information from sparse, het-erogeneous location data. Defined this way, location information may provide a contextual common denominator for the semantic modelling of services in a service-oriented architecture.AIMS 2004, Artificial Intelligence in Mobile Systems; 09/2004