A Semantic Infrastructure for Personalisable Context-Aware Environments

Although a number of initiatives provide personalized context-aware guidance for niche use-cases, a standard framework for context awareness remains lacking. This article explains how semantic technology has been exploited to generate a centralized repository of personal activity context. This data drives advanced features such as, personal situation recognition and customizable rules for the context-sensitive management of personal devices and data sharing. As a proof-of-concept, we demonstrate how an innovative context-aware system has successfully adopted such an infrastructure.

[1]  Tino Breddin,et al.  Relative temporal constraints in the Rete algorithm for complex event detection , 2008, DEBS.

[2]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.

[3]  Siegfried Handschuh,et al.  Ontology-based situation recognition for context-aware systems , 2013, I-SEMANTICS '13.

[4]  Aekyung Moon,et al.  Short Paper: Situation-Awareness Model for Higher Order Network Knowledge Management Platform , 2009, SSN.

[5]  Siegfried Handschuh,et al.  Knowledge Discovery in Distributed Social Web Sharing Activities , 2012, #MSM.

[6]  Simon Thiel,et al.  A Requirements-Driven Approach Towards Decentralized Social Networks , 2012 .

[7]  Charles L. Forgy,et al.  Rete: a fast algorithm for the many pattern/many object pattern match problem , 1991 .

[8]  Siegfried Handschuh,et al.  Processing Ubiquitous Personal Event Streams to Provide User-Controlled Support , 2013, WISE.

[9]  J. Y. Yen.  Finding the K Shortest Loopless Paths in a Network , 1971 .

[10]  Siegfried Handschuh,et al.  Interacting with a Context-Aware Personal Information Sharing System , 2013, HCI.

[11]  Siegfried Handschuh,et al.  Technologies for the Social Semantic Desktop , 2009, Reasoning Web.

[12]  Sven Schwarz.  A Context Model for Personal Knowledge Management Applications , 2005, MRC.

[13]  Henning Schulzrinne,et al.  Ontology-based User-defined Rules and Context-aware Service Composition System , 2011, RED@ESWC.

[14]  Stefan Rass,et al.  A model for ontology-based scene description for context-aware driver assistance systems , 2008, Ambi-Sys '08.

[15]  L. Sauermann,et al.  PIMO-a Framework for Representing Personal Information Models , 2007 .

[16]  Ian Horrocks,et al.  The Semantic Web: The Roles of XML and RDF , 2000, IEEE Internet Comput..