Abstract
We propose SOWL, an ontology for representing and reasoning over spatio-temporal information in OWL. Building upon well established standards of the semantic web (OWL 2.0, SWRL) SOWL enables representation of static as well as of dynamic information based on the 4D-fluents (or, equivalently, on the N-ary) approach. Both RCC-8 topological and cone-shaped directional relations are integrated in SOWL. Representing both qualitative temporal and spatial information (i.e., information whose temporal or spatial extents are unknown such as “left-of” for spatial and “before” for temporal relations) in addition to quantitative information (i.e., where temporal and spatial information is defined precisely) is a distinctive feature of SOWL. The SOWL reasoner is capable of inferring new relations and checking their consistency, while retaining soundness, completeness, and tractability over the supported sets of relations.
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Batsakis, S., Petrakis, E.G.M.: SOWL: Spatio-temporal Representation, Reasoning and Querying over the Semantic Web. In: 6th International Conference on Semantic Systems, Graz, Austria, September 1-3, pp. 1–9 (2010)
Welty, C., Fikes, R.: A Reusable Ontology for Fluents in OWL. Frontiers in Artificial Intelligence and Applications 150, 226–236 (2006)
Gutierrez, C., Hurtado, C., Vaisman, A.: Introducing Time into RDF. IEEE Trans. on Knowledge and Data Engineering 19(2), 207–218 (2007)
Renz, J., Nebel, B.: Qualitative Spatial Reasoning using Constraint Calculi. In: Handbook of Spatial Logics, pp. 161–215. Springer, Netherlands (2007)
Katz, Y., Grau, B.: Representing Qualitative Spatial Information in OWL-DL. In: Proc. of Int. Workshop: OWL Experiences and Directions, Galway, Ireland (2005)
Randell, D., Cui, Z., Cohn, A.: A Spatial Logic Based on Regions and Connection. In: Proc. 3rd Int. Conf. on Knowledge Representation and Reasoning, pp. 165–176. Morgan Kaufmann, San Mateo (1992)
Frank, A.: Qualitative Spatial Reasoning: Cardinal Directions as an Example. Int. Journal of Geographic Information Systems 10(3), 269–290 (1996)
Allen, J.F.: Maintaining Knowledge About Temporal Intervals. Communications of the ACM 26, 832–843 (1983)
Cohn, A., Bennett, B., Goodayand, J., Gotts, N.: Qualitative Spatial Representation and Reasoning with the Region Connection Calculus. GeoInformatica 1(3), 275–316 (1997)
Tappolet, J., Bernstein, A.: Applied Temporal RDF: Efficient Temporal Querying of RDF Data with SPARQL. In: Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M., Simperl, E. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 308–322. Springer, Heidelberg (2009)
Stocker, M., Sirin, E.: PelletSpatial: A Hybrid RCC-8 and RDF/OWL Reasoning and Query Engine. In: CEUR Workshop Proceedings, OWLED 2009, vol. 529, pp. 2–31 (2009)
Renz, J.: Maximal Tractable Fragments of the Region Connection Calculus: A Complete Analysis. In: Int. Joint Conference on Artificial Intelligence, vol. 16, pp. 448–455 (1999)
Renz, J., Mitra, D.: Qualitative Direction Calculi with Arbitrary Granularity. In: Zhang, C., Guesgen, H.W., Yeap, W.-K. (eds.) PRICAI 2004. LNCS (LNAI), vol. 3157, pp. 65–74. Springer, Heidelberg (2004)
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Batsakis, S., Petrakis, E.G.M. (2011). SOWL: A Framework for Handling Spatio-temporal Information in OWL 2.0. In: Bassiliades, N., Governatori, G., Paschke, A. (eds) Rule-Based Reasoning, Programming, and Applications. RuleML 2011. Lecture Notes in Computer Science, vol 6826. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22546-8_19
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DOI: https://doi.org/10.1007/978-3-642-22546-8_19
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