Abstract
We present a conceptual framework and computational mechanism to allow the interpretation of text phrases such as “in southeastern Bahia,” and “in central Goiás” as spatial features in GIS context. The framework recognises different notions of centre, central sector and outer sector, from which a variety of interpretation models is derived.
We subsequently evaluate these models for the performance characteristics of precision and recall, against a digitised, natural history gazetteer for Brazil, and draw conclusions on the cognition of, and computation with directional part-whole relationships.
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Abuzaid, A.H., Mohamed, I.B., Hussin, A.G.: Boxplot for circular variables. Comp. Stat., 1–12 (2011)
Arpinar, I.B., Sheth, A., Ramakrishnan, Usery, E.L., Azami, M., Kwan, M.-P.: Geospatial ontology development and semantic analytics. Trans. in GIS 10, 551–575 (2006)
Bose, P., Czyzowicz, J., Kranakis, E., Krizanc, D., Lessard, D.: Near optimal-partitioning of rectangles and prisms. In: Canadian Conf. on Comput. Geom., pp. 162–165 (1999)
de By, R.A.: A funny distance computation and... the power of spatial SQL. Technical report, University of Twente, ITC (2012)
Frank, A.U.: Qualitative spatial reasoning about distances and directions in geographic space. J. of Visual Lang. & Comput. 3(4), 343–371 (1992)
Goyal, R.K., Egenhofer, M.J.: Consistent queries over cardinal directions across different levels of detail. In: Proc. 11th Int. Workshop on Database and Expert Systems Applications, Greenwich, U.K., pp. 876–880 (2000)
Guo, Q., Liu, Y., Wieczorek, J.: Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach. Int. J. of Geog. Info. Sci. 22, 1067–1090 (2008)
Liu, Y., Guo, Q., Kelly, M.: A framework of region-based spatial relations for non-overlapping features and its application in object-based image analysis. ISPRS J. of Photogr. and Rem. Sens. 63(4), 461–475 (2008)
Liu, Y., Wang, X., Jin, X., Wu, L.: On Internal Cardinal Direction Relations. In: Cohn, A.G., Mark, D.M. (eds.) COSIT 2005. LNCS, vol. 3693, pp. 283–299. Springer, Heidelberg (2005)
Paynter Jr., R.A., Traylor Jr., M.A.: Ornithological Gazetteer of Brazil, vol. A–M, 1. Mus. of Comp. Zoology, Cambridge (1991)
Paynter Jr., R.A., Traylor Jr., M.A.: Ornithological Gazetteer of Brazil, vol. N–Z, 2. Harvard University, Mus. of Comp. Zoology, Cambridge, Ma (1991)
Skiadopoulos, S., Koubarakis, M.: Composing cardinal direction relations. Artif. Intell. 152(2), 143–171 (2004)
van Kreveld, M.J., Reinbacher, I.: Good NEWS: Partitioning a simple polygon by compass directions. Int. J. of Comput. Geom. & Appl., (14), 233–259 (2004)
van Rijsbergen, C.J.: Information Retrieval, 2nd edn. Butterworth, London (1979)
Wieczorek, J., Guo, Q., Hijmans, R.J.: The point-radius method for georeferencing locality descriptions and calculating associated uncertainty. Int. J. of Geog. Info. Sci. 18(8), 745–767 (2004)
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Singh, G., de By, R.A., Ivánová, I. (2012). Concepts, Compass and Computation: Models for Directional Part-Whole Relationships. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2012. ICCSA 2012. Lecture Notes in Computer Science, vol 7334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31075-1_22
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DOI: https://doi.org/10.1007/978-3-642-31075-1_22
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