Abstract
Spatial information associates properties to labeled areas. Space is partitioned into (elementary) parcels, and union of parcels constitute areas. Properties may have various level of generality, giving birth to a taxonomy of properties for a given universe of discourse. Thus, the set of properties pertaining to a conceptual taxonomy, as the set of areas and parcels, are structured by a natural partial order. We refer to such structures as ontologies. In fusion problems, information coming from distinct sources may be expressed in terms of different conceptual and/or spatial ontologies, and may be pervaded with uncertainty. Dealing with several conceptual (or spatial) ontologies in a fusion perspective presupposes that these ontologies be aligned. This paper introduces a basic representation format called attributive formula, which is a pair made of a property and a set of parcels (to which the property applies), possibly associated with a certainty level. Uncertain attributive formulas are processed in a possibilistic logic manner, augmented with a two-sorted characterization: the property may be true everywhere in an area, or at least true somewhere in the area. The fusion process combines the factual information encoded by the attributive formulas provided by the different sources together with the logical encoding of the conceptual and spatial ontologies (obtained after alignment). Then, inconsistency encountered in the fusion process may be handled by taking advantage of the existence of different fusion modes, or by relaxing when necessary a closed world-like assumption stating by default that what is true somewhere in an area may be also true everywhere in it (if nothing else is known). A landscape analysis toy example illustrates the approach.
This work was funded by the Midi-Pyrénées and Provence-Alpes-Côte d’Azur Regional Councils (Inter-Regional Project n o 05013992 “GEOFUSE”). A preliminary version is electronically available [6].
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Rosse, C., Smith, B.: The role of foundational relations in the alignment of biomedical ontologies. In: Fieschi, M., et al. (eds.) MedInfo, Amsterdam. IOS Pres, IMIA (2004)
Balley, S., Parent, C., Spaccapietra, S.: Modelling geographic data with multiple representations. Int. J. of Geographical Information Science 18(4), 327–352 (2004)
Benferhat, S., Dubois, D., Prade, H.: A computational model for belief change and fusing ordered belief bases. In: Williams, M.-A., Rott, H. (eds.) Frontiers in Belief Revision, pp. 109–134. Kluwer Academic Publishers, Dordrecht (2001)
Bloch, I., Hunter, A. (eds.): Fusion: General Concepts and Characteristics. International Journal of Intelligent Systems 16(10), 1107–1134 (2001)
Tversky, B., Mark, D., Smith, B.: Ontology and geographic objects: An empirical study of cognitive categorization. In: Freksa, C., Mark, D.M. (eds.) COSIT 1999. LNCS, vol. 1661, pp. 283–298. Springer, Heidelberg (1999)
Dupin de Saint-Cyr, F., Jeansoulin, R., Prade, H.: Spatial information fusion: Coping with uncertainty in conceptual structures. In: ICCS Supplement, pp. 66–74 (2008), http://ceur-ws.org/Vol-354/p36.pdf
Dupin de Saint, F., Prade, H.: Multiple-source data fusion problems in spatial information systems. In: 11th Int. Conf. on Inf. Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2006), pp. 2189–2196 (2006)
Dubois, D., Lang, J., Prade, H.: Possibilistic logic. In: Gabbay, D.M., Hogger, C.J., Robinson, J.A. (eds.) Handbook of logic in Artificial Intelligence and logic programming, vol. 3, pp. 439–513. Clarendon Press, Oxford (1994)
Dubois, D., Prade, H.: Possibility Theory. Plenum Press (1988)
Duckham, M., Worboys, M.: An algebraic approach to automated information fusion. Intl. Journal of Geographic Information Systems 19(5), 537–557 (2005)
Euzenat, J., Shvaiko, P.: Ontology matching. Springer, Heidelberg (2007)
Fonseca, F., Egenhofer, M., Agouris, P., Cmara, G.: Using ontologies for integrated geographic information systems. Transactions in GIS 6(3), 231–257 (2002)
Sorokine, A., Nowacki, G.: The limitations of applying single-resource taxonomies to ecological partonomies. In: Ecological Interpretations and Principles: Soil info. for a changing world. NCSS conf., Plymouth MA, August 2003, pp. 17–20 (2003)
Goodchild, M., Jeansoulin, R.: Data Quality in Geographic Information: from Error to Uncertainty, p. 192. Hermés, Paris (1998)
Goodchild, M.F., Yuan, M., Cova, T.J.: Towards a general theory of geographic representation in gis. Int. J. of Geogr. Information Science 21(3), 239–260 (2007)
Jeansoulin, R., Pham, T.T., Phan-Luong, V.: A quality-aware theme fusion for spatial information. In: Int. Conf. on Formal Concept Analysis (FCA 2007) (2007)
Klischewski, R.: How to ’rightsize’ an ontology: a case of ontology-based web information management to improve the service for handicapped persons. In: 15th Int. Workshop on Database and Expert Systems Applications, pp. 158–162 (2004)
Petry, F., Cobb, M., Wen, L., Yang, H.: Design of system for managing fuzzy relationships for integration of spatial data in querying. Fuzzy Sets and Systems 140(1), 51–73 (2003)
Trung Pham, T.: Fusion de l’information géographique hiérarchisée. PhD thesis, Université de Provence, septembre (2005)
Quine, W.V.O.: On What There Is. In: From a Logical Point of View, pp. 1–19. Harper and Row, New York (1953)
Smith, B.: Mereotopology: A theory of parts and boundaries. Data and Knowledge Engineering 20, 287–303 (1996)
Staab, S., Studer, R. (eds.): Handbook on Ontologies. Springer, Heidelberg (2004)
Wurbel, E., Papini, O., Jeansoulin, R.: Revision: an application in the framework of GIS. In: 7th Int. Conf. on Principles of Knowledge Representation and Reasoning (KR 2000), pp. 505–516 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dupin de Saint-Cyr, F., Jeansoulin, R., Prade, H. (2008). Fusing Uncertain Structured Spatial Information. In: Greco, S., Lukasiewicz, T. (eds) Scalable Uncertainty Management. SUM 2008. Lecture Notes in Computer Science(), vol 5291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87993-0_15
Download citation
DOI: https://doi.org/10.1007/978-3-540-87993-0_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87992-3
Online ISBN: 978-3-540-87993-0
eBook Packages: Computer ScienceComputer Science (R0)