Context information plays an important role in context-aware mobile commerce (m-commerce) applications. Context information must be preprocessed, integrated and modelled before being stored and then used in a context-aware m-commerce application. Based on Knowledge Management (KM) theories and practice, this paper proposes a framework that uses several information technologies to collect, process, integrate, model, store and use context information. This framework will help effectively manage this information, as well as provide integrated context information about location, weather, time and user activities to enable context-awareness of an m-commerce application.
A.K. Dey , D. Salber and G.D. Abowd , A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications , Human-Computer Interaction Journal16(2–4) (2001) 97–166 . [Anchor article of a special issue on Context-Aware Computing]
2.
A. Schmidt , M. Beigl and H.W. Gellersen , There is more to context than location , Computer & Graphics23 (1999) 893–901 .
3.
A. Schmidt , K.A. Aidoo , A. Takaluoma , U. Tuomela , K van Laerhoven and W. van de Velde , Advanced interaction in context . In: 1st International Symposium on Handheld and Ubiquitous Computing (HUC99), Karlsruhe, Germany, September 1999, 288–300 .
4.
J. Pascoe , The stick-e note architecture: extending the interface beyond the user . In: Proceedings of the Internationl Conference on Intelligent User Interfaces, Florida, USA, January 1997.
5.
D. Salber and G.D. Abowd , The design and use of a generic context server . In: Proceedings of the Perceptual User Interfaces Workshop (PUI ‘98), San Francisco, November 1998.
6.
S.W. Lee and K. Mase , Activity and location recognition using wearable sensors , IEEE Pervasive Computing1(3) (2002) 24–32 .
7.
G.K.M. Bieber and M. Korten , User tracking by sensor fusion for situation aware systems . In: Proceedings of the 22nd Conference on Remote Sensing (ACRS 2001), Singapore, November 2001.
8.
C. Randell and H. Muller , Context awareness by analyzing accelerometer data . In: Proceedings of the 4th International Symposium on Wearable Computers (ISWC. 2000), Atlanta, USA, October 2000.
9.
L. Argote , B. McEvily and R. Reagans , Managing knowledge in organizations: an integrative framework and review of emerging themes , Management Science49(4) (2003) 571–582 .
10.
T.W. Luen and S. Al-Hawamdeh , Knowledge management in the public sector: principles and practices in police work , Journal of Information Science27(5) (2001) 311–318 .
11.
M. Alavi and D.E. Leidner , Review: knowledge management and knowledge management systems: conceptual foundations and research issues , MIS Quarterly25(1) (2001) 107–136 .
12.
S.A. Carlsson , O.A. El Sawy , I. Eriksson and A. Raven , Gaining competitive advantage through shared knowledge creation: in search of a new design theory for strategic information systems . In: Proceedings of the Fourth European Conference on Information Systems, Lisbon, Portugal, July 1996.
13.
T.H. Davenport and L. Prusak , Working Knowledge ( Harvard Business School Press, Boston , 1998).
14.
D.A. Garvin , Building a learning organization , Harvard Business Review (July-August) (1993) 78–91 .
15.
T.S. Chau , S.K. Leung , H. Tang and S. Liao , The design of a context-aware information centre for m-commerce applications . In: Proceedings of the 7th Pacific Asia Conference on Information Systems, Adelaide, 2003.
16.
T.H. Davenport , General perspectives on knowledge management: fostering a research agenda , Journal of Management Information Systems18(1) (2001) 5–21 .
17.
I. Tuomi , Data is more than knowledge: implications of the reversed hierarchy for knowledge management and organizational memory. In: Proceedings of the Thirty-Second Hawaii International Conference on Systems Sciences, ( IEEE Computer Society Press, Los Alamitos , 1999).
18.
P. Yates-Mercer and D. Bawden , Managing the paradox: the valuation of knowledge and knowledge management , Journal of Information Systems28(1) (2002) 19–29 .
19.
N. Mylonopoulos and H. Tsoukas , Technological and organizational issues in knowledge management , Knowledge and Process Management10(3) (2003) 139–143 .
20.
I. Nonaka , A dynamic theory of organizational knowledge creation , Organization Science5(1) (1994) 14–37 .
C. O’Dell and C.J. Grayson Jr , If Only We Knew What We Know ( The Free Press, New York , 1998).
23.
T. Beckman , A methodology for knowledge management . In: International Association of Science and Technology for Development (IASTED) AI and Soft Computing Conference, Banff, Canada, 1997.
24.
M. Weiser , The computer for the 21st century , Scientific American265 (1991) 94–104 .
25.
E.M. Awad and H. M. Ghaziri , Knowledge Management ( Prentice Hall, New Jersey ,2003).
H.L. Resnikoff and R.O. Wells Jr , Wavelet analysis: the scalable structure of information ( Springer, New York , 1998).
28.
J.I. Hong, The context fabric: infrastructure support for context-aware computing (Unpublished manuscript, UC, Berkeley, 2002).
29.
J. Bohn and H. Vogt, Dependable probabilistic positioning based on high-level sensor-fusion and map knowledge, Institute for Pervasive Computing (Unpublished manuscript, Swiss Federal Institute of Technology, ETH Zurich, Switzerland).
30.
S. Liao , H.Q. Wang and W.Y. Liu , From functional dependencies to probabilistic networks (Submitted to IEEE Transactions on SMC Part A, 2003).
31.
F. Kobayashi , F. Arai , T. Fukuda , K. Shimojima , M. Onoda and N. Marui , Sensor fusion system using recurrent fuzzy inference , Journal of Intelligent and Robotic Systems23 (1998) 201–216 .
32.
S. Liao , H.Q. Wang and W.Y. Liu , Functional dependencies with null values, fuzzy values and crisp values , IEEE Transactions on Fuzzy Systems7 (1999) 97–103 .
33.
H. Wu , M. Siegel , R. Stiefelhagen and J. Yang , Sensor fusion using Dempster-Shafer theory . In: Proceedings of IEEE Instrumentation and Measurement Technology Conference, Anchorage, USA, May 2002.
34.
I. Ruthven and M. Lalmas , Using Dempster-Shafer’s theory of evidence to combine aspects of information use , Journal of Intelligent Information Systems19(3) (2001) 267–301 .
35.
M.A. Abidi and R.C. Gonzalez , Data Fusion in Robotics and Machine Intelligence ( Academic Press, Boston , 1992).
36.
T. Kleine-Ostmann and A.E. Bell , A data fusion architecture for enhanced position estimation in wireless networks , IEEE Communications Letters5 (2001) 343–345 .
37.
D.L. Hall and J. Llinas , An introduction to multisensor data fusion , Proceedings of the IEEE85(1) (1997) 6–23 .
38.
H.Q. Wang , S.Liao , and W. Y. Liu , Constructing concept hierarchies based on fuzzy semantic proximity (Submitted to IEEE Transactions on SMC Part A, 2003).
