Prototyping of Task-Oriented Mobile Navigation System with Real Scale Mobile Services

Because present methods for mobile service navigation are insufficient to guide users efficiently to the services they need, the authors have been investigating a taskoriented menu, which enables users to search for mobile internet services not by category but by what they want to do. Construction of the task-oriented menu is based on a task ontology modeling method which supports descriptions of user activities, such as task execution and defeating obstacles encountered during the task. Since a prototype within a limited domain and task proved its efficiency for navigating novice users, this paper introduces the next step toward the realization of the taskoriented menu system. We have built task model of the mobile users which covered about 97% of the assumed situations of mobile internet services. Then we reorganized “contexts” in the model and designed a menu hierarchy from the view point of the task. We have linked the designed menu to the set of actual mobile internet service sites included in the i-mode service operated by NTT docomo, consists of 5016 services. Among them, 4817 services are properly connected to the menu. This paper introduces a real scale task-oriented menu system for mobile service navigation with some findings in the process of the prototyping.

[1]  Kevin Crowston,et al.  Organizing Business Knowledge: The MIT Process Handbook , 2003 .

[2]  Jinwoo Kim,et al.  A qualitative cross-national study of cultural influences on mobile data service design , 2005, CHI.

[3]  Riichiro Mizoguchi,et al.  Obstacles Reveal the Needs of Mobile Internet Services , 2008, J. Web Eng..

[4]  Shoji Kurakake,et al.  Task Knowledge Based Retrieval for Service Relevant to Mobile User's Activity , 2005, SEMWEB.

[5]  Riichiro Mizoguchi,et al.  Task Ontology-Based Framework for Modeling Users' Activities for Mobile Service Navigation , 2006 .

[6]  James A. Hendler,et al.  Information gathering during planning for Web Service composition , 2005, J. Web Semant..

[7]  Borys Omelayenko.  RDFT: A Mapping Meta-Ontology for Web Service Integration , 2003, Knowledge Transformation for the Semantic Web.

[8]  Fabio Casati,et al.  Semi-automated adaptation of service interactions , 2007, WWW '07.

[9]  Shumeet Baluja,et al.  A large scale study of wireless search behavior: Google mobile search , 2006, CHI.

[10]  Dana S. Nau,et al.  Web Service Composition with Volatile Information , 2005, SEMWEB.

[11]  Steffen Staab,et al.  Bootstrapping ontology alignment methods with APFEL , 2005, WWW '05.

[12]  Grit Denker,et al.  Semantic Web Service Interaction Protocols: An Ontological Approach , 2004, SEMWEB.

[13]  Bijan Parsia,et al.  Task Computing - The Semantic Web Meets Pervasive Computing , 2003, SEMWEB.

[14]  Christina L. James,et al.  Text input for mobile devices: comparing model prediction to actual performance , 2001, CHI.

[15]  Subbarao Kambhampati,et al.  Refinement Planning as a Unifying Framework for Plan Synthesis , 1997, AI Mag..

[16]  John Domingue,et al.  Choreography in IRS-III - Coping with Heterogeneous Interaction Patterns in Web Services , 2005, SEMWEB.

[17]  Guus Schreiber,et al.  Knowledge Engineering and Management: The CommonKADS Methodology , 1999 .