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Topological Analysis in Indoor Shopping Mall using Ontology
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 Title & Authors
Topological Analysis in Indoor Shopping Mall using Ontology
Lee, Kangjae; Kang, Hye-Young; Lee, Jiyeong;
Recently, human activities have expanded from outdoor spaces to indoor spaces since a lot of complex buildings were constructed over the world. Especially, visitors in a shopping mall would like to receive specific information of interest regarding various shopping-related activities as well as shopping itself. However, when it comes to providing the information, existing guide services have some drawbacks. Firstly, the existing services cannot provide visitors with the information of other stores simply and promptly on the current location. Secondly, the services have difficulties in representation and share of the shopping-related knowledge, and in providing inferred information. Thus, the purpose of this study is to develop a method that allows topological analysis utilizing ontology technique around the current position in such shopping mall in order to provide shopping-related information. For this, the shopping activity ontology model is designed, and based on the ontology model, inferencing rules are defined in order to extract the information of interest efficiently through semantic queries. Also, a geocoding method in indoor spaces is used regarding the current location, and optimal routing analysis, which is one of topological analysis, is applied with the result from the semantic queries. As a result, an Android application is developed for 3D visualization and user interface.
Indoor Space;Topological Analysis;Semantic Query;Ontology;Geocoding;
 Cited by
Anacleto, R., Luz, N., Almeida, A., Figueiredo, L. and Novais, P. (2011), Shopping center tracking and recommendation systems, In Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011, pp. 299-308.

Dijkstra, E.W. (1959), A note on two problems in connexion with graphs, Numerische mathematick, Vol. 1, NO. 1, pp. 269-271. crossref(new window)

Gruber, T. R. (1995), Toward principles for the design of ontologies used for knowledge sharing, International journal of human computer studies, Vol. 43, NO. 5, pp. 907-928. crossref(new window)

Gruninger, M. and Fox, M. S. (1995), Methodology for the design and evaluation of ontologies, In Proceedings of the Workshop on Basic Ontological Issues in Knowledge Sharing, IJCAI.

Lee, J. (2004), A spatial access-oriented implementation of a 3-D GIS topological data model for urban entities, GeoInformatica Vol. 8, NO. 3, pp. 237-264. crossref(new window)

Lee, J. (2007), A three-dimensional navigable data model to support emergency response in microspatial builtenvironments. Annals of the Association of American Geographers, Vol. 97, NO. 3, pp. 512-529. crossref(new window)

Lee, J. and Zlatanova, S. (2008), A 3D data model and topological analyses for emergency response in urban areas, In Geo-information technology for emergency response, ed. S.Zlatanova and J. Li. Bristol, PA: Taylor&Francis.

Lee, K and Lee, J. (2013), A geocoding method on character matching in indoor spaces, Journal of Korea Spatial Information Society, Vol. 21, NO. 1, pp. 87-100. crossref(new window)

Lee, S. J. and Lee, J. (2012), Finding isolated zones through connectivity relationship analysis in indoor space, Korean Journal of Geomatics, Vol. 30, NO. 3, pp. 229-240. crossref(new window)

Lemmens, R. and de Vries, M. (2004), Semantic description of location based web services using an extensible location ontology, In Proceedings of Munster GI-days, pp. 261-276.

Liu, D., Chen, J. and Guo, J. (2008), An ontology-based LBS system, In Wireless Communications, Networking and Mobile Computing. WiCOM'08. 4th International Conference on IEEE, pp. 1-4.

Munkres, J. R. (1984), Elements of Algebraic Topology. Addison-Wesley, Menlo Park, CA.

Noy, N. F. and Deborah L. M. (2001), Ontology development 101: A guide to creating your first ontology, Stanford University, ontology_development/ontology101.html.

Randell, D.A., Cui, Z. and Cohn, A.G. (1992), A spatial logic based on regions and connection, In Proc. of the 3rd International Conference on Knowledge Representation and Reasoning, pp. 165-176.

Tsetsos, V., Anagnostopoulos, C., Kikiras, P., Hasiotis, P. and Hadjiefthymiades, S. (2005), A human-centered semantic navigation system for indoor environments, In Pervasive Services, ICPS'05, In Proceedings of International Conference on IEEE, pp. 146-155.

Uschold, M. and Gruninger, M. (1996), Ontologies: Principles, methods and applications, Knowledge engineering review, Vol. 11, NO. 2, pp. 93-136. crossref(new window)

Wang, X. H., Zhang, D. Q., Gu, T. and Pung, H. K. (2004), Ontology based context modeling and reasoning using OWL, In Pervasive Computing and Communications Workshops, In Proceedings of the Second IEEE Annual Conference on IEEE, pp. 18-22.