On the (limited) difference between feature and geometric semantic similarity models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6631 LNCS, Issue , 2011, Pages 124-132

  Ahlqvist, Ola ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE MODELS; GEOGRAPHIC INFORMATION; GEOGRAPHIC INFORMATION SCIENCE; GEOMETRIC MODELS; GEOMETRIC SEMANTICS; MISSING VALUES; SEMANTIC SIMILARITY;

GEOGRAPHIC INFORMATION SYSTEMS;

SEMANTICS;

EID: 79957987939     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20630-6_8     Document Type: Conference Paper

References (49)

1. Medin, D.L.: Concepts and Conceptual Structure. Am. Psychol. 44, 1469-1481 (1989)
2. Sowa, J.F.: Knowledge representation: logical, philosophical, and computational foundations. MIT Press, Cambridge (2000)
3. Lee, T.B., Hendler, J., Lassila, O.: The semantic web. Scientific American 284, 34-43 (2001)
4. Rosch, E.: Principles of categorization. In: Rosch, E., Loyd, B.B. (eds.) Cognition and Categorization, pp. 27-48. Lawrence Erlbaum Associates, Hillsdale (1978)
5. Bennett, B.: What is a Forest? On the Vagueness of Certain Geographic Concepts. Topoi. 20, 189-201 (2001)
6. Couclelis, H.: People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS. In: Frank, A.U., Campari, I., Formentini, U. (eds.) Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, pp. 65-77. Springer, Heidelberg (1992)
7. Fisher, P.: Sorites paradox and vague geographies. Fuzzy Sets Syst. 113, 7-18 (2000)
8. Fisher, P., Wood, J.: What is a Mountain? or The Englishman who went up a Boolean Geographical concept but realised it was Fuzzy. Geography 83, 247-256 (1998)
9. Salge, F.: Semantic accuracy. In: Guptill, S.C., Morisson, J.L. (eds.) Elements of Spatial Data Quality, pp. 139-151. Elsevier Science Ltd., Oxford (1995)
10. Athanasis, N., Kalabokidis, K., Vaitis, M., Soulakellis, N.: Towards a semantics-based approach in the development of geographic portals. Computers and Geosciences 35, 301-308 (2009)
11. Scharl, A., Tochtermann, K.: The Geospatial Web: How Geobrowsers, Social Software and the Web 2.0 are Shaping the Network Society (Advanced Information and Knowledge Processing). Springer-Verlag New York, Inc., Secaucus (2007)
12. Murphy, G.L.: The Big Book of Concepts. MIT Press, Cambridge (2004)
13. Schwering, A.: Approaches to semantic similarity measurement for geo-spatial data: A survey. Transactions in GIS 12, 5-29 (2008)
14. Ahlqvist, O.: A Parameterized Representation of Uncertain Conceptual Spaces. Transactions in GIS 8, 493-514 (2004)
15. Feng, C.C., Flewelling, D.M.: Assessment of semantic similarity between land use/land cover classification systems. Comput., Environ. Urban Syst. 28, 229-246 (2004)
16. Gangemi, A., Guarino, N., Masolo, C., Oltramari, A., Schneider, L.: Sweetening Ontologies with DOLCE. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 166-181. Springer, Heidelberg (2002)
17. Raubal, M.: Formalizing Conceptual Spaces. In: Varzi, A., Vieu, L. (eds.) Proceedings of the Third International Conference Formal Ontology in Information Systems (FOIS 2004), pp. 153-164. IOS Press, Amsterdam (2004)
18. Rodriguez, M., Egenhofer, M.: Determining semantic similarity among entity classes from different ontologies. IEEE Transactions on Knowledge and Data Engineering 15, 442-456 (2003)
19. Song, D., Bruza, P.: Towards context sensitive information inference. Journal of the American Society for Information Science and Technology 54, 321-334 (2003)
20. Gati, I., Tversky, A.: Representations of qualitative and quantitative dimensions. Journal of Experimental Psychology: Human Perception and Performance 8, 325-340 (1982)
21. Restle, F.: Psychology of Judgment and Choice. Wiley, New York (1961)
22. Johannesson, M.: Modelling asymmetric similarity with prominence. Br. J. Math. Stat. Psychol. 53, 121-139 (2000)
23. Smith, E.E., Medin, D.L.: Categories and concepts. Harvard University Press, Cambridge (1981)
24. Tversky, A.: Features of similarity. Psychol. Rev. 84, 327-352 (1977)
25. Rada, R., Mili, H., Bicknell, E., Blettner, M.: Development and application of a metric on semantic nets. IEEE Transactions on Systems, Man and Cybernetics 19, 17-30 (1989)
26. Schwering, A., Raubal, M.: Measuring Semantic Similarity between Geospatial Conceptual Regions. In: Rodríguez, M.A., Cruz, I., Levashkin, S., Egenhofer, M.J. (eds.) GeoS 2005. LNCS, vol. 3799, pp. 90-106. Springer, Heidelberg (2005)
27. Gärdenfors, P.: Conceptual Spaces: The Geometry of Thought. MIT Press, Cambrige (2000)
28. Velleman, P.F., Wilkinson, L.: Nominal, Ordinal, Interval, and Ratio Typologies Are Misleading. The American Statistician 47, 65-72 (1993)
29. Stevens, S.S.: On the Theory of Scales of Measurement. Science 103, 677-680 (1946)
30. Osherson, D.N., Smith, E.E.: On the Adequacy of Prototype Theory as a Theory of Concepts. Cognition. International Journal of Cognitive Psychology Paris 9, 35-38 (1981)
31. Janowicz, K., Raubal, M.: Affordance-Based Similarity Measurement for Entity Types. In: Winter, S., Duckham, M., Kulik, L., Kuipers, B. (eds.) COSIT 2007. LNCS, vol. 4736, pp. 133-151. Springer, Heidelberg (2007)
32. Williams, J., Steele, N.: Difference, distance and similarity as a basis for fuzzy decision support based on prototypical decision classes. Fuzzy Sets Syst. 131, 35-46 (2002)
33. Verguts, T., Ameel, E., Storms, G.: Measures of similarity in models of categorization. Mem. Cognit. 32, 379-389 (2004)
34. Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338-353 (1965)
35. Masson, M.H., Denoeux, T.: Multidimensional scaling of fuzzy dissimilarity data. Fuzzy Sets Syst. 128, 339-352 (2002)
36. Zadeh, L.A.: Quantitative fuzzy semantics. Information Sciences 3, 159-176 (1971)
37. Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Norwell (1992)
38. Dubois, D., Prade, H.: Rough fuzzy sets and fuzzy rough sets. International Journal of General Systems 17, 191-209 (1990)
39. Zadeh, L.A.: The Concept of a Linguistic Variable and Its Application to Approximate Reasoning. Information Sciences 8, 199-249 (1973)
40. van Fraassen, B.C.: Singular Terms, Truth-Value Gaps, and Free Logic. The Journal of Philosophy 63, 481-495 (1966)
41. Dubois, D., Esteva, F., Godo, L., Prade, H.: An information-based discussion of vagueness. Fuzzy Systems, 781-784 (2001)
42. Fisher, P.F.: Models of uncertainty in spatial data. In: Geographical Information Systems - Principles and Technical Issues, pp. 191-205. Wiley, New York (1999)
43. Tran, L., Duckstein, L.: Comparison of fuzzy numbers using a fuzzy distance measure. Fuzzy Sets Syst. 130, 331-341 (2002)
44. Bortolan, G., Degani, R.: Review of some methods for ranking fuzzy subsets. Fuzzy Sets Syst. 15, 1-20 (1985)
45. Bouchon-Meunier, B., Rifqi, M., Bothorel, S.: Towards general measures of comparison of objects. Fuzzy Sets Syst. 84, 143-153 (1996)
46. Guarino, N.: Formal ontology, conceptual analysis and knowledge representation. International Journal of Human Computer Studies 43, 625-640 (1995)
47. Ahlqvist, O.: Using semantic similarity metrics to uncover category and land cover change. In: Rodríguez, M.A., Cruz, I., Levashkin, S., Egenhofer, M.J. (eds.) GeoS 2005. LNCS, vol. 3799, pp. 107-119. Springer, Heidelberg (2005)
48. Ahlqvist, O., Gahegan, M.: Probing the relationship between classification error and class similarity. Photogramm. Eng. Remote Sensing 71, 1365-1373 (2005)
49. Gahegan, M., Pike, W.: A situated Knowledge Representation of Geographical Information. Transactions in GIS 10, 727-749 (2006)