Abstract
Context-aware applications are the future of modern smartphones. Now we have mobile devices with enough sensing and processing capabilities but combining them and developing a context-aware application for mobile devices is still a challenging task for developers. Context-aware middleware support is a solution to reduce the complexity in developing context-aware applications. Context modeling is one of the key requirement for a successful context-aware middleware for context representation and reasoning. This paper presents a new Object-Role Modeling (ORM) based context model which uses the advantage of modern graph databases and overcomes the problems associated with previous context models including their lack of context reasoning ability and poor spatial and temporal context modeling support.
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References
Weiser, M.: The computer for the 21st century. SIGMOBILE Mob. Comput. Commun. Rev. 3(3), 3–11 (1999)
Schilit, B., Adams, N., Want, R.: Context-aware computing applications. In: Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications. WMCSA 1994, pp. 85–90. IEEE Computer Society, Washington, DC (1994)
Abowd, G.D., Dey, A.K., Brown, P.J., Davies, N., Smith, M., Steggles, P.: Towards a better understanding of context and context-awareness. In: Gellersen, H.-W. (ed.) HUC 1999. LNCS, vol. 1707, pp. 304–307. Springer, Heidelberg (1999). doi:10.1007/3-540-48157-5_29
Satyanarayanan, M.: Challenges in implementing a context-aware system. IEEE Pervasive Comput. 1(3), 2 (2002)
Ejigu, D., Scuturici, M., Brunie, L.: An ontology-based approach to context modeling and reasoning in pervasive computing. In: Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops. PERCOMW 2007, pp. 14–19. IEEE Computer Society, Washington, DC (2007)
Held, A., Buchholz, S., Schill, A., Schill, E.: Modeling of context information for pervasive computing applications (2002)
Gu, T., Wang, X.H., Pung, H.K., Zhang, D.Q.: An ontology-based context model in intelligent environments. In: Proceedings of Communication Networks and Distributed Systems Modeling and Simulation Conference, pp. 270–275 (2004)
Grenon, P., Smith, B.: Snap and span: towards dynamic spatial ontology. Spat. Cogn. Comput. 4(1), 69–103 (2004)
Fonseca, F.T., Egenhofer, M.J.: Ontology-driven geographic information systems. In: Proceedings of the 7th ACM International Symposium on Advances in Geographic Information Systems. GIS 1999, pp. 14–19. ACM, New York (1999)
Sheng, Q.Z., Benatallah, B.: ContextUML: a UML-based modeling language for model-driven development of context-aware web services development. In: Proceedings of the International Conference on Mobile Business. ICMB 2005, pp. 206–212. IEEE Computer Society, Washington, DC (2005)
Henricksen, K., Indulska, J., Rakotonirainy, A.: Generating context management infrastructure from high-level context models. In: 4th International Conference on Mobile Data Management (MDM) - Industrial Track, pp. 1–6 (2003)
Neo4j: The world’s leading graph database. http://neo4j.com. Accessed 07 Feb 2016
What is a graph database? A property graph model intro. http://neo4j.com/developer/graph-database/. Accessed 05 Jan 2016
Guttman, A.: R-trees: a dynamic index structure for spatial searching. In: Proceedings of the 1984 ACM SIGMOD International Conference on Management of Data. SIGMOD 1984, pp. 47–57. ACM, New York (1984)
Taverner, C.: Neo4j-contrib/spatial. https://github.com/neo4j-contrib/spatial. Accessed 05 Jan 2016
Hijmans, R.J., Guarino, L., Cruz, M., Rojas, E.: Computer tools for spatial analysis of plant genetic resources data: 1. DIVA-GIS. Plant Genetic Resources Newsletter, pp. 15–19 (2001)
Complex event processor - WSO2 inc. http://wso2.com/products/complex-event-processor. Accessed 03 May 2016
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Anton Yogarajah, A.N., Dharmasena, S.R., Loganathan, G., Perera, S., Balachandrasarma, V., Walpola, M. (2017). An ORM Based Context Model for Context-Aware Computing. In: Cong Vinh, P., Tuan Anh, L., Loan, N., Vongdoiwang Siricharoen, W. (eds) Context-Aware Systems and Applications. ICCASA 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 193. Springer, Cham. https://doi.org/10.1007/978-3-319-56357-2_14
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DOI: https://doi.org/10.1007/978-3-319-56357-2_14
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