Proximal Business Intelligence on the Semantic Web
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.
(Required)Pervasive Informatics Business Intelligence Semantic Web
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- 1.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)Google Scholar
- 4.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)Google Scholar
- 5.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)Google Scholar
- 6.Daniel, H., Albert, P., Mike, P.: RFID, A Guide To Radio Frequency Identification. Wiley, USA (2007)Google Scholar
- 8.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)Google Scholar
- 9.Hevner, A., March, S., Park, J., Ram, S.: Design Science in Information Systems Research. MIS Quarterly 28(1) (2004)Google Scholar
- 11.Nunamaker, J., Chen, M., Purdin, T.: System Development in Information Systems Research. Journal of Management Information Systems 7(3), 89–106 (1991)Google Scholar
- 12.Pendyala, V.S., Shim, S.S.Y.: The Web as the Ubiquitous Computer. Computer 42(9) (2009)Google Scholar
- 14.Ridhawi, Y., Harroud, H., Karmouch, A., Agoulmine, N.: Policy Driven Context-Aware Services in Mobile Enviroments. Innovation in Information Technology, 558–562 (2008)Google Scholar
- 15.Salguero, A., Araque, F., Delgado, C.: Ontology based framework for data integration. WSEAS Trans. Info. Sci. and App. 5(6), 953–962 (2008)Google Scholar
- 16.Simson, G., Beth, R. (eds.): RFID Applications, Security, and Privacy. Addison Wesley, United States (2006)Google Scholar
- 17.Schmidt, A.: Ubiquitous Computing: Are we there yet? Computer 43(2) (2010)Google Scholar