Abstract
Ubiquitous information systems (UBIS) extend current Information System thinking to explicitly differentiate technology between devices and software components with relation to people and process. Adapting business data and management information to support specific user actions in context is an ongoing topic of research. Approaches typically focus on providing mechanisms to improve specific information access and transcoding but not on how the information can be accessed in a mobile, dynamic and ad-hoc manner. Although web ontology has been used to facilitate the loading of data warehouses, less research has been carried out on ontology based mobile reporting. This paper explores how business data can be modeled and accessed using the web ontology language and then re-used to provide the invisibility of pervasive access; uncovering more effective architectural models for adaptive information system strategies of this type. This exploratory work is guided in part by a vision of business intelligence that is highly distributed, mobile and fluid, adapting to sensory understanding of the underlying environment in which it operates. A proof-of-concept mobile and ambient data access architecture is developed in order to further test the viability of such an approach. The paper concludes with an ontology engineering framework for systems of this type – named UBIS-ONTO.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Baumbach, J., Brinkrolf, K., Czaja, L.F., Rahmann, S., Tauch, A.: CoryneRegNet: An ontology-based data warehouse of corynebacterial transcription factors and regulatory networks. BMC Genomics 7(24) (2006)
Bose, I., Mahapatra, R.: Business Data Mining – A Machine Learning Perspective. Information & Management 39, 211–225 (2001)
Campbell, A.T., Eisenman, S.B., Lane, N.D., Miluzzo, E., Peterson, R.A., Lu, H., Zheng, X., Musolesi, M., Fodor, K., Ahn, G.: The Rise of People-Centric Sensing. IEEE Internet Computing 12(4), 12–21 (2008), doi:10.1109/MIC.2008.90
Chen, H., Finin, T., Jishi, A.: Using OWL in a Pervasive Computing Broker. In: Proceedings of Workshop on Ontologies in Open Agent Systems, AAMAS 2003 (2003)
Chen, H., Perich, F., Finin, T., Joshi, A.: SOUPA: Standard Ontology for Ubiquitous and Pervasive Applications. In: Int. Conf. on Mobile and Ubiquitous Systems: Networking and Services (August 2004)
Daniel, H., Albert, P., Mike, P.: RFID, A Guide To Radio Frequency Identification. Wiley, USA (2007)
Gruber, T.R.: Toward Principles for the Design of Ontologies Used for Knowledge Sharing. International Journal of Human and Computer Studies 43(5/6), 907–928 (1995)
Gruninger, M., Fox, M.: Methodology for the design and evaluation of ontologies. In: Proceedings of the Workshop on Basic Ontological Issues in Knowledge Sharing held in Conjunction with IJCAI 1995, Montreal, Canada (1995)
Hevner, A., March, S., Park, J., Ram, S.: Design Science in Information Systems Research. MIS Quarterly 28(1) (2004)
Mizoguchi, R.: Tutorial on Ontologial Engineering Part 2: Ontology Development, Tools and Languages. New Generation Computing 22, 61–96 (2004)
Nunamaker, J., Chen, M., Purdin, T.: System Development in Information Systems Research. Journal of Management Information Systems 7(3), 89–106 (1991)
Pendyala, V.S., Shim, S.S.Y.: The Web as the Ubiquitous Computer. Computer 42(9) (2009)
Raman, B., Chebrolu, K.: Censor networks: a critique of "sensor networks" from a systems perspective. SIGCOMM Comput. Commun. Rev. 38(3), 75–78 (2008)
Ridhawi, Y., Harroud, H., Karmouch, A., Agoulmine, N.: Policy Driven Context-Aware Services in Mobile Enviroments. Innovation in Information Technology, 558–562 (2008)
Salguero, A., Araque, F., Delgado, C.: Ontology based framework for data integration. WSEAS Trans. Info. Sci. and App. 5(6), 953–962 (2008)
Simson, G., Beth, R. (eds.): RFID Applications, Security, and Privacy. Addison Wesley, United States (2006)
Schmidt, A.: Ubiquitous Computing: Are we there yet? Computer 43(2) (2010)
Stanford, V.: Pervasive computing goes the last hundred feet with RFID systems. Pervasive Computing 2(2), 9–14 (2003)
Uschold, M., King, M., Moralee, S., Zorgios, Y.: The Knowledge Engineering Review 13, 31–89 (1998)
Weiser, M.: Hot topics-ubiquitous computing. Computer 26(10), 71–72 (1993)
Weiser, M.: The Computer for the 21th Century. Scientific American 265(3), 94–101 (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bell, D., Nguyen, T. (2010). Proximal Business Intelligence on the Semantic Web. In: Nelson, M.L., Shaw, M.J., Strader, T.J. (eds) Sustainable e-Business Management. AMCIS 2010. Lecture Notes in Business Information Processing, vol 58. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15141-5_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-15141-5_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15140-8
Online ISBN: 978-3-642-15141-5
eBook Packages: Computer ScienceComputer Science (R0)