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 IJG  Vol.6 No.1 , January 2015
An OWL-Based Mobile GeoBI Context Ontology Enabling Location-Based and Context-Based Reasoning and Supporting Contextual Business Analysis
Abstract: Mobile professionals need to be assisted with suitable mobile GeoBI (Geospatial Business Intelligence) systems, which are able to capture, organize and structure the user’s reality into a relevant context model and reason on it. GeoBI context modelling and reasoning are still research issues since there is not yet either a model or a relevant taxonomy regarding GeoBI contextual information. To fill this gap, this paper proposes an extended and detailed OWL-based mobile GeoBI context ontology to provide context-aware applications and users with relevant contextual information and context-based reasoning capabilities. Context quality issues are handled an implementation architecture which is provided.
Cite this paper: Diallo, B. , Badard, T. , Hubert, F. and Daniel, S. (2015) An OWL-Based Mobile GeoBI Context Ontology Enabling Location-Based and Context-Based Reasoning and Supporting Contextual Business Analysis. International Journal of Geosciences, 6, 88-108. doi: 10.4236/ijg.2015.61007.
References

[1]   Franklin, C. (1992) An Introduction to Geographic Information Systems: Linking Maps to Databases. Database, 15, 13-21.

[2]   Urry, J. (2002) Mobility and Proximity. Sociology, 36, 255-274.
http://dx.doi.org/10.1177/0038038502036002002

[3]   Bao, T., Cao, H., Chen, E., Tian, J. and Xiong, H. (2012) An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users. Knowledge and Information Systems, 31, 345-370.
http://dx.doi.org/10.1007/s10115-011-0417-1

[4]   Chen, H., Finin, T. and Joshi, A. (2003) An Intelligent Broker for Context-Aware Systems. Chez Ubicomp 2003.

[5]   Diallo, B.A.A., Badard, T., Hubert, F. and Daniel, S. (2012) Mobile and Context-Aware GeoBI Applications: A Multilevel Model for Structuring and Sharing of Contextual Information. Journal of Geographic Information System (JGIS), 4, 425-443. http://dx.doi.org/10.4236/jgis.2012.45048

[6]   Wang, X.H., Zhang, D.Q., Gu, T. and Pung, H.K. (2004) Ontology Based Context Modeling and Reasoning Using OWL. 2nd IEEE Conference on Pervasive Computing and Communications (PerCom 2004) Workshop on Context Modeling and Reasoning.

[7]   Gu, T., Wang, X., Pung, H. and Zhang, D. (2004) An Ontology-Based Context Model in Intelligent Environments. Communication Networks and Distributed Systems Modeling and Simulation Conference, San Diego.

[8]   Antoniou, G. and van-Harmelen, F. (2004) Web Ontology Language: OWL. Handbook on Ontologies, Springer, Berlin, New York, 67-92.

[9]   Hayes, P., Eskridge, T.C., Mehrotra, M., Bobrovniko, D., Reichherzer, T. and Saavedra, R. (2005) COE: Tools for Collaborative Ontology Development and Reuse. Knowledge Capture Conference (K-CAP) 2005.

[10]   Parreiras, S.F. and Staab, S. (2010) Using Ontologies with UML Class-Based Modeling: The Two Use Approach. Data & Knowledge Engineering, 69, 1194-1207.
http://dx.doi.org/10.1016/j.datak.2010.07.009

[11]   Straeten, R.V.D., Mens, T., Simmonds, J. and Jonckers, V. (2003) Using Description Logic to Maintain Consistency between UML Models. UML 2003—The Unified Modeling Language, Modeling Languages and Applications, 6th International Conference, San Francisco.

[12]   Bodeveix, J., Millan, T., Percebois, C., Camus, C., Bazex, P. and Feraud, L. (2002) Extending OCL for Verifying UML Models Consistency. UML 2002: Workshop on Consistency Problems in UML-Based Software Development.

[13]   Bédard, Y. (1999) Principles of Spatial Database Analysis and Design. GIS: Principles, Techniques, Applications & Management, 2nd Edition. Wiley, New York, 413-424.

[14]   Yong, L. and Chen, S. (2011) Visual Modeling and Representations of Spatiotemporal Transportation Data: An Object-Oriented Approach. 2011 International Symposium on Computer Science and Society (ISCCS), Kota Kinabalu, 16-17 July 2011, 218-222.

[15]   Brodeur, J. (2012) Geosemantic Interoperability and the Geospatial Semantic Web. Handbook of Geographic Information, Springer Heidelberg, Berlin, 291-310.

[16]   W3C (2007) W3C Geospatial Vocabulary.
http://www.w3.org/2005/Incubator/geo/XGR-geo-20071023/#owl

[17]   Tversky, B. (2003) Structures of Mental Spaces: How People Think about Space. Environment and Behaviour, 35, 6680.

[18]   Graves, M., Constabaris, A. and Brickley, D. (2007) FOAF: Connecting People on the Semantic Web. Cataloging and Classification Quarterly, 43, 191-202. http://dx.doi.org/10.1300/J104v43n03_10

[19]   Costa, P. and McCrae Jr., R. (1992) Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) Manual. Psychological Assessment Resources, Lutz.

[20]   Salgado, J. (2003) Predicting Job Performance Using FFM and Non-FFM Personality Measures. Journal of Occupational and Organizational Psychology, 76, 323-346.
http://dx.doi.org/10.1348/096317903769647201

[21]   Yuanchao, M., Bin, X., Yin, B., Guodong, S. and Zhu, R. (2012) Daily Mood Assessment Based on Mobile Phone Sensing. Wearable and Implantable Body Sensor Networks (BSN).

[22]   Chittaranjan, G., Blom, J. and Gatica-Perez, D. (2011) Who’s Who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones. International Symposium on Wearable Computers (ISWC).

[23]   Luhn, H. (1958) A Business Intelligence System. IBM Journal of Research and Development, 2, 314-319.

[24]   Novakovic, D. and Huemer, C. (2014) A Survey on Business Context. Intelligent Computing, Networking, and Informatics.

[25]   Douma, S. and Schreuder, H. (2013) Economic Approaches to Organizations. 5th Edition, Pearson Education Limited, Harlow.

[26]   Dale, B.G., Van Der Wiele, T. and Van Iwaarden, J. (2013) Managing Quality. John Wiley & Sons, Hoboken.

[27]   Meyer, K.E., Mudambi, R. and Narula, R. (2011) Multinational Enterprises and Local Contexts: The Opportunities and Challenges of Multiple Embeddedness. Journal of Management Studies, 48, 235-252.

[28]   Grant, R.M. (2010) Contemporary Strategy Analysis and Cases: Text and Cases. John Wiley & Sons, Hoboken.

[29]   Andrews, K.R. (1970) The Concept of Corporate Strategy. Dow Jones-Irwin.

[30]   Kindberg, T., Bevan, C., O’Neill, E., Mitchell, J., Grimmett, J. and Woodgate, D. (2009) Authenticating Ubiquitous Services: A Study of Wireless Hotspot Access. 11th International Conference on Ubiquitous Computing (Ubicomp’09), New York.

[31]   Goodchild, M.F., Yuan, M. and Cova, T.J. (2007) Towards a General Theory of Geographic Representation in GIS. International Journal of Geographical Information Science, 21, 239-260. http://dx.doi.org/10.1080/13658810600965271

[32]   Murray, A.T. (2010) Advances in Location Modeling: GIS Linkages and Contributions. Journal of Geographical Systems, 12, 335-354. http://dx.doi.org/10.1007/s10109-009-0105-9

[33]   Rosenberg, M. (2014) The Five Themes of Geography.
http://geography.about.com/od/teachgeography/a/5themes.htm

[34]   Jones, C. (2008) Modelling Vague Places with Knowledge from the Web. International Journal of Geographical Information Science, 22, 1045-1065.

[35]   Kelm, P., Murdock, V., Schmiedeke, S., Schockaert, S., Serdyukov, P. and Van Laere, O. (2013) Georeferencing in Social Networks. Social Media Retrieval, 115, 115-142. Springer-Verlag, London. http://dx.doi.org/10.1007/978-1-4471-4555-4_6

[36]   Callan, R.J. and Kyndt, J. (2001) Business Travellers’ Perception of Service Quality: A Prefatory Study of Two European City Centre Hotels. International Journal of Tourism Research, 3, 313-323. http://dx.doi.org/10.1002/jtr.333

[37]   Fawzy, A. (2010) Business Travelers’ Accommodation Selection: A Comparative Study of Two International Hotels in Cairo. International Journal of Hospitality and Tourism Administration, 11, 138-156. http://dx.doi.org/10.1080/15256481003732790

[38]   Tarlow, P. (2009) Tourism Safety and Security. The SAGE Handbook of Tourism Studies, SAGE Publications Ltd., London, 464-480.

[39]   Perry, M., O’Hara, K., Sellen, A., Brown, B. and Harper, R. (2001) Dealing with Mobility: Understanding Access Anytime, Anywhere. ACM Transactions on Computer-Human Interaction, 8, 323-347. http://dx.doi.org/10.1145/504704.504707

[40]   Raento, M., Oulasvirta, A., Petit, R. and Toivonen, H. (2005) ContextPhone: A Prototyping Platform for Context-Aware Mobile Applications. IEEE Pervasive Computing, 4, 51-59.
http://dx.doi.org/10.1109/MPRV.2005.29

[41]   Nicolai, T., Yoneki, E., Behrens, N. and Kenn, H. (2006) Exploring Social Context with the Wireless Rope. Lecture Notes in Computer Science, 4277, 874-883.

[42]   Zack, M.H. and McKenney, J.L. (1995) Social Context and Interaction in Ongoing Computer-Supported Management Groups. Organization Science, 6, 394-422. http://dx.doi.org/10.1287/orsc.6.4.394

[43]   Ferris, G., Arthur, M., Berkson, H., Kaplan, D., Harrel-Cook, G. and Frink, D. (1998) Toward a Social Context Theory of the Human Resource Management Organization Effectiveness Relationship. Human Resource Management Review, 8, 235-264.
http://dx.doi.org/10.1016/S1053-4822(98)90004-3

[44]   Carroll, A. and Bucholtz, A. (2008) Ethics and Stakeholder Management. Business and Society with Infotrac, Mason.

[45]   Boiral, O. (2006) Global Warming: Should Companies Adopt a Proactive Strategy? Long Range Planning, 39, 315-330. http://dx.doi.org/10.1016/j.lrp.2006.07.002

[46]   Wang, H., Lymberopoulos, D. and Liu, J. (2014) Local Business Ambience Characterization through Mobile Audio Sensing. Proceedings of the 23rd International Conference on World Wide Web.

[47]   Barry, R.G. and Chorley, R.J. (2009) Atmosphere, Weather and Climate. Routledge, London.

[48]   McBride, A.C., Dale, V.H., Baskaran, L.M., Downing, M.E., Eaton, L.M., Efroymson, R.A. and Storey, J.M. (2011) Indicators to Support Environmental Sustainability of Bioenergy Systems. Ecological Indicators, 11, 1277-1289. http://dx.doi.org/10.1016/j.ecolind.2011.01.010

[49]   Mace, G.M., Norris, K. and Fitter, A.H. (2012) Biodiversity and Ecosystem Services: A Multilayered Relationship. Trends in Ecology & Evolution, 27, 19-26.

[50]   Beder, S. (2013) Environmental Principles and Policies: An Interdisciplinary Introduction. Routledge, London.

[51]   Henricksen, K. and Indulska, J. (2004) Modelling and Using Imperfect Context Information. 1st Workshop on Context Modeling and Reasoning, PerCom’04.

[52]   Ranganathan, A., Al-Muhtadi, J. and Campbell, R. (2004) Reasoning about Uncertain Contexts in Pervasive Computing Environments. IEEE Pervasive Computing, 3, 62-70.

[53]   Bettini, C., Brdiczka, O., Henricksen, K., Indulska, J., Nicklas, D., Ranganathan, A. and Riboni, D. (2010) A Survey of Context Modelling and Reasoning Techniques. Pervasive and Mobile Computing, 6, 161-180. http://dx.doi.org/10.1016/j.pmcj.2009.06.002

[54]   Manzoor, A., Truong, H.L. and Dustdar, S. (2014) Quality of Context: Models and Applications for Context-Aware Systems in Pervasive Environments. The Knowledge Engineering Review, 29, 154-170. http://dx.doi.org/10.1017/S0269888914000034

[55]   McKeever, S., Ye, J., Coyle, L. and Dobson, S. (2009) A Context Quality Model to Support Transparent Reasoning with Uncertain Context. Lecture Notes in Computer Science, 5786, 65-75.
http://dx.doi.org/10.1007/978-3-642-04559-2_6

[56]   Helaoui, R., Riboni, D., Niepert, M., Bettini, C. and Stuckenschmidt, H. (2012) Towards Activity Recognition Using Probabilistic Description Logics. Workshops at the 26th AAAI Conference on Artificial Intelligence on Activity Context Representation: Techniques and Languages.

[57]   Frez, J., Baloian, N., Zurita, G. and Pino, J.A. (2014.) Dealing with Incomplete and Uncertain Context Data in Geographic Information Systems. IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD).

[58]   Chahuara, P., Portet, F. and Vacher, M. (2012) Context Aware Decision System in a Smart Home: Knowledge Representation and Decision Making Using Uncertain Contextual Information. The 4th International Workshop on Acquisition, Representation and Reasoning with Contextualized Knowledge (ARCOE-12).

[59]   Sottara, D., Mello, P. and Proctor, M. (2010) A Configurable Rete-OO Engine for Reasoning with Different Types of Imperfect Information. IEEE Transactions on Knowledge and Data Engineering, 22, 1535-1548. http://dx.doi.org/10.1109/TKDE.2010.125

[60]   McKeever, S. (2011) Recognising Situations Using Extended Dempster-Shafer Theory. Doctoral Dissertation, National University of Ireland, Dublin.

[61]   Badard, T., Bédard, Y., Hubert, F., Bernier, E. and Dubé, é. (2008) Web Services Oriented Architectures for Mobile SOLAP Applications. International Journal of Web Engineering and Technology (IJWET), 4, 434-464. http://dx.doi.org/10.1504/IJWET.2008.019943

[62]   Quilitz, B. and Leser, U. (2008) Querying Distributed RDF Data Sources with SPARQL. The Semantic Web: Research and Applications, Springer, Heidelberg, 524-538.

[63]   Akram, A., Meredith, D. and Allan, R. (2006) Evaluation of BPEL to Scientific Workflows. 6th IEEE International Symposium on Cluster Computing and the Grid, CCGRID 06, 1, 269-274.

[64]   Pautasso, C. (2009) RESTful Web Service Composition with BPEL for REST. Data & Knowledge Engineering, 68, 851-866.

[65]   Carroll, J.J., Dickinson, I., Dollin, C., Reynolds, D., Seaborne, A. and Wilkinson, K. (2004) Jena: Implementing the Semantic Web Recommendations. WWW 2004 13th Conference on World Wide Web.

[66]   O’Connor, M., Knublauch, H., Tu, S. and Musen, M. (2005) Writing Rules for the Semantic Web Using SWRL and Jess. Lecture Notes in Computer Science, 3729, 974-986.

 
 
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