Grounded Contextual Reasoning enabling Innovative Mobile Services

This paper reflects our findings on the technological feasibility of a mobile service scenario. We will show that despite the scenario being quite ordinary for endusers, the required service support functionality is rather complex. The realisation hinges on intricate grounded contextual reasoning about location information, user profiles and other situational context information. In particular, existing engineering methods and state-of-the-art technologies very well enable, for example, timely warning of a sales manager, who is late for and on his way to a business meeting. Furthermore, such techniques readily enable recommending the ‘best’ alternative travel schemes such that he arrives in time for his meeting. We report on our findings with implementing a sophisticated location reasoner of such a commuter-assistant that ultimately aligns commuting and meeting preference schemes of the sales manager.

[1]  Chiara Ghidini,et al.  Contextual reasoning distilled , 2000, J. Exp. Theor. Artif. Intell..

[2]  Varol Akman,et al.  Steps Toward Formalizing Context , 1996, AI Mag..

[3]  Harry Chen,et al.  An Intelligent Broker for Context-Aware Systems , 2003 .

[4]  Thad Starner,et al.  Learning Significant Locations and Predicting User Movement with GPS , 2002, Proceedings. Sixth International Symposium on Wearable Computers,.

[5]  Klara Nahrstedt,et al.  A Middleware Infrastructure for Active Spaces , 2002, IEEE Pervasive Comput..

[6]  Steffen Staab,et al.  International Handbooks on Information Systems , 2013 .

[7]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[8]  John Mylopoulos,et al.  Partitioning Information Bases with Contexts , 1995, CoopIS.

[9]  Luciano Serafini,et al.  Model Theoretic Semantics for Information Integration , 1998, AIMSA.

[10]  R. Fikes,et al.  JTP : A System Architecture and Component Library for Hybrid Reasoning , 2003 .

[11]  Klara Nahrstedt,et al.  Gaia: A Middleware Infrastructure to Enable Active Spaces1 , 2002 .

[12]  Luciano Serafini,et al.  Comparing formal theories of context in AI , 2004, Artif. Intell..

[13]  Shimei Pan,et al.  Context-based multimodal input understanding in conversational systems , 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.

[14]  George Luger,et al.  Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition) , 2004 .

[15]  Henk Eertink,et al.  Ubiquitous Attentiveness - Enabling Context-Aware Mobile Applications and Services , 2003, EUSAI.

[16]  John McCarthy,et al.  Notes on Formalizing Context , 1993, IJCAI.

[17]  Alfons H. Salden,et al.  Context-Based Service Access for Train Travelers , 2004, EUSAI.

[18]  Robert E. McGrath,et al.  Ontologies in a Pervasive Computing Environment , 2003 .

[19]  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..

[20]  Wanda Pratt,et al.  Integrating Information Sources Using Context Logic , 1995 .