Ontology-based approach for context modeling in enterprise applications |
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| Affiliation: | 1. National Research Council, IASI “Antonio Ruberti”, Via dei Taurini 19, 00185 Rome, Italy;2. University of Brescia, Department of Information Engineering, via Branze 38, 25123 Brescia, Italy;1. XML and Web Engineering Research Group, Faculty of Mathematics and Physics, Charles University in Prague, Malostranské nám. 25, 118 00 Praha 1, Czech Republic;2. Department of Information and Knowledge Engineering, University of Economics, Nám. Winstona Churchilla 4, 130 67 Praha 3, Czech Republic;3. Department of Information Technology, Czech Technical University in Prague, Thákurova 9, 160 00 Praha 6, Czech Republic;1. Faculty of Sciences and Technology, UNINOVA, New University of Lisbon, Caparica 2829-516, Portugal;2. Caixa Mágica Software, Lisbon 1600-196, Portugal;3. Computer Science Department, “Nicolae Titulescu” University of Bucharest, Bucharest 031046, Romania;4. Lyon Research Centre for Images and Intelligent Information Systems, Claude Bernard Lyon 1 University, Villeurbanne 69100, France |
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| Abstract: | Today, enterprise applications provide large amounts of data and finding the right information on time for a given purpose is often a challenge. In these environments, users do not know what information is important, why it is important and finally, how to find this important information. Therefore, an enterprise application has to decide which information is relevant in certain a situation for certain a user. In order to accomplish that, the context of the information must be taken to account. Moreover, this application must be able to capture the context of the application user as well as the overall business context which describes the situation in which information is relevant. In this paper we propose an ontology-based context model which captures the general concepts about user and business context. Also, we discuss the challenges for context reasoning and interpreting and we present a case study to demonstrate the benefits of the developed concepts. |
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| Keywords: | Context modeling User context Business context Ontology engineering Software engineering |
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