SOCOM: Multi-sensor Oriented Context Model Based on Ontologies

Sensor plays an important role in context-aware computing. While sensor modeling is usually isolated from former researches on context modeling and sensor type is always restricted to physical ones, this paper aims to provide a more comprehensive insight into the relationships between sensor and context. Based on a more generic definition of sensor and a corresponding sensor category in context-aware computing, main characteristics of sensor and the relations between sensor and context are analyzed in details. In particular, a multi-sensor oriented context model based on ontology approach is proposed. The model which has been applied to a middleware supporting for rapid context-aware applications development is proved to be effective.

[1]  Bill N. Schilit,et al.  The Parctab Ubiquitous Computing Experiment , 1994, Mobidata.

[2]  Gregory D. Abowd,et al.  A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications , 2001, Hum. Comput. Interact..

[3]  Miltiades E. Anagnostou,et al.  A context ontology for pervasive service provision , 2006, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06).

[4]  E. Hirschorn,et al.  Open Geospatial Consortium , 2004 .

[5]  Junzhong Gu.  Middleware for Physical and Logical Context Awareness , 2011, FGIT-SIP.

[6]  Claudia Linnhoff-Popien,et al.  Applications of a Context Ontology Language , 2003 .

[7]  Bill N. Schilit,et al.  Context-aware computing applications , 1994, Workshop on Mobile Computing Systems and Applications.

[8]  Tao Gu,et al.  Ontology based context modeling and reasoning using OWL , 2004, IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second.

[9]  Liang He,et al.  Location Aware Mobile Cooperation-Design and System , 2009 .

[10]  Daniel Salber,et al.  Modelling and Using Sensed Context Information in the Design of Interactive Applications , 2001, EHCI.

[11]  Yu Yan,et al.  Research on Personalized Topic Distillation Algorithm , 2008, 2008 The Third International Multi-Conference on Computing in the Global Information Technology (iccgi 2008).

[12]  Liang He,et al.  Semantics and Relativity Expansion Based on Tag Recommendation with Time Degradation , 2011 .

[13]  John Soldatos,et al.  A breadboard architecture for pervasive context-aware services in smart spaces: middleware components and prototype applications , 2007, Personal and Ubiquitous Computing.

[14]  Harry Chen,et al.  SOUPA: standard ontology for ubiquitous and pervasive applications , 2004, The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004. MOBIQUITOUS 2004..

[15]  Toru Ishida,et al.  Open Smart Classroom: Extensible and Scalable Learning System in Smart Space Using Web Service Technology , 2009, IEEE Transactions on Knowledge and Data Engineering.

[16]  Liang He,et al.  LaMOC - A Location Aware Mobile Cooperative System , 2009, FGIT-SIP.

[17]  Junzhong Gu,et al.  Designs of privacy protection in location-aware mobile social networking applications , 2010, 5th International Conference on Pervasive Computing and Applications.