An evaluative baseline for geo-semantic relatedness and similarity

GeoInformatica

Volumn 18, Issue 4, 2014, Pages 747-767

  Ballatore, Andrea ^a   Bertolotto, Michela ^a   Wilson, David C ^b  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

^b University of North Carolina at Charlotte   (United States)

Author keywords

Cognitive plausibility; Geo semantic relatedness; Geo semantic similarity; Geo semantics; GeReSiD; Gold standards

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; SILICON;

COGNITIVE PLAUSIBILITY; GEO-SEMANTICS; GERESID; GOLD STANDARDS; SEMANTIC RELATEDNESS; SEMANTIC SIMILARITY;

SEMANTICS;

DATA SET; EMPIRICAL ANALYSIS; GIS; INTERNET; NUMERICAL MODEL;

EID: 84908118044     PISSN: 13846175     EISSN: 15737624     Source Type: Journal    
DOI: 10.1007/s10707-013-0197-8     Document Type: Article

References (57)

1. Agirre E, Alfonseca E, Hall K, Kravalova J, Paşca M, Soroa A (2009) A study on similarity and relatedness using distributional and WordNet-based approaches. In: Proceedings of human language technologies: the 2009 annual conference of the North American chapter of the association for computational linguistics. ACL, pp 19–27
2. Bakillah M, Bédard Y, Mostafavi M, Brodeur J (2009) SIM-NET: a view-based semantic similarity model for Ad Hoc networks of geospatial databases. Trans GIS 13(5–6):417–447
3. Ballatore A, Wilson D, Bertolotto M (2012) The similarity jury: combining expert judgements on geographic concepts. In: Castano S, Vassiliadis P, Lakshmanan L, Lee M (eds) Advances in conceptual modeling. ER 2012 workshops (SeCoGIS). LNCS, vol 7518. Springer, Berlin, pp 231–240
4. Ballatore A, Bertolotto M, Wilson D (2013) Computing the semantic similarity of geographic terms using volunteered lexical definitions. Int J Geogr Inf Sci 27(10):2099–2118
5. Ballatore A, Bertolotto M, Wilson D (2013) Geographic knowledge extraction and semantic similarity in OpenStreetMap. Knowl Inf Syst 37(1):61–81
6. Ballatore A, Wilson D, Bertolotto M (2013) A survey of volunteered open geo-knowledge bases in the semantic web. In: Pasi G, Bordogna G, Jain L (eds) Quality issues in the management of web information, intelligent systems reference library, vol 50. Springer, Berlin, pp 93–120
7. Banerjee M, Capozzoli M, McSweeney L, Sinha D (1999) Beyond Kappa: a review of interrater agreement measures. Can J Stat 27(1):3–23
8. Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3:993–1022
9. Budanitsky A, Hirst G (2006) Evaluating WordNet-based measures of lexical semantic relatedness. Comput Linguist 32(1):13–47
10. Cimiano P, Völker J (2005) Towards large-scale, open-domain and ontology-based named entity classification. In: Recent advances in natural language processing, RANLP 2005. ACL, pp 166–172
11. Dawes J (2008) Do data characteristics change according to the number of scale points used?Int J Mark Res 50(1):61–78
12. Ferrara F, Tasso C (2013) Evaluating the results of methods for computing semantic relatedness. In: Gelbukh A (ed) Computational linguistics and intelligent text processing. LNCS, vol 7816. Springer, Berlin, pp 447–458
13. Finkelstein L, Gabrilovich E, Matias Y, Rivlin E, Solan Z, Wolfman G, Ruppin E (2002) Placing search in context: the concept revisited. ACM Trans Inf Syst 20(1):116–131
14. Finn R (1970) A note on estimating the reliability of categorical data. Educ Psychol Meas 30(1):71–76
15. Goldstone R, Son J (2005) Similarity. In: Holyoak K, Morrison R (eds) Cambridge handbook of thinking and reasoning. Cambridge University Press, New York, pp 13–36
16. Hecht B, Raubal M (2008) GeoSR: geographically explore semantic relations in world knowledge. In: The European information society: taking geoinformation science one step further. LNGC, Springer, Berlin
17. Hecht B, Carton SH, Quaderi M, Schöning J, Raubal M, Gergle D, Downey D (2012) Explanatory semantic relatedness and explicit spatialization for exploratory search. In: Proceedings of the 35th international ACM SIGIR conference on research and development in information retrieval. ACM, pp 415–424
18. James L, Demaree R, Wolf G (1984) Estimating within-group interrater reliability with and without response bias. J Appl Psychol 69(1):85–98
19. Janowicz K, Raubal M (2007) Affordance-based similarity measurement for entity types. In: Spatial information theory. LNCS, vol 4736. Springer, Berlin, pp 133–151
20. Janowicz K, Keßler C, Schwarz M, Wilkes M, Panov I, Espeter M, Bäumer B (2007) Algorithm, implementation and application of the SIM-DL similarity server. In: GeoSpatial semantics: second international conference, GeoS 2007. LNCS, vol 4853. Springer, Berlin, pp 128–145
21. Janowicz K, Keßler C, Panov I, Wilkes M, Espeter M, Schwarz M (2008) A study on the cognitive plausibility of SIM-DL similarity rankings for geographic feature types. In: Fabrikant S, Wachowicz M (eds) The European information society: taking geoinformation science one step further. LNGC, Springer, Berlin, pp 115–134
22. Janowicz K, Raubal M, Schwering A, Kuhn W (2008) Semantic similarity measurement and geospatial applications. Trans GIS 12(6):651–659
23. Janowicz K, Raubal M, Kuhn W (2011) The semantics of similarity in geographic information retrieval. J Spat Info Sci 2(1):29–57
24. Kaptchuk T (2001) The double-blind, randomized, placebo-controlled trial: gold standard or golden calf?J Clin Epidemiol 54(6):541–549
25. Kendall M, Smith B (1939) The problem of m rankings. Ann Math Stat 10(3):275–287
26. Keßler C (2007) Similarity measurement in context. In: Proceedings of the 6th international and interdisciplinary conference on modeling and using context. LNCS, vol 4635. Springer, pp 277–290
27. Keßler C (2011) What is the difference? A cognitive dissimilarity measure for information retrieval result sets. Knowl Inf Syst 30(2):319–340
28. Khoo C, Na J (2006) Semantic relations in information science. Annu Rev Inf Sci Technol 40(1):157–207
29. Kuhn W (2013) Cognitive and linguistic ideas and geographic information semantics. In: Cognitive and linguistic aspects of geographic space. LNGC, Springer, pp 159–174
30. LeBreton J, Senter J (2008) Answers to 20 questions about interrater reliability and interrater agreement. Organ Res Methods 11(4):815–852
31. Lehrer A (1985) The influence of semantic fields on semantic change. In: Fisiak J (ed) Historical word formation. Walter de Gruyter, Berlin, pp 283–296
32. Medin D, Goldstone R, Gentner D (1990) Similarity involving attributes and relations: judgments of similarity and difference are not inverses. Psychol Sci 1(1):64–69
33. Miller G, Charles W (1991) Contextual correlates of semantic similarity. Lang Cogn Process 6(1):1–28
34. Mohammad S, Hirst G (2012) Distributional measures of semantic distance: a survey. Comput Res Repository (CoRR) 1–39. arXiv:http://arXiv.org/abs/1203.1858
35. Montello DR, Fabrikant SI, Ruocco M, Middleton RS (2003) Testing the first law of cognitive geography on point-display spatializations. In:Kuhn W, Worboys M, Timpf S (eds) Spatial information theory. Foundations of Geographic Information Science. LNCS, vol 2825. Springer, pp 316–331
36. Morris J, Hirst G (2004) Non-classical lexical semantic relations. In: Proceedings of the HLT-NAACL workshop on computational lexical semantics. ACL, pp 46–51
37. Nelson D, Dyrdal G, Goodmon L (2005) What is preexisting strength? Predicting free association probabilities, similarity ratings, and cued recall probabilities. Psychon Bull Rev 12(4):711–719
38. Pedersen T, Kolhatkar V (2009) Wordnet::senserelate::allwords: a broad coverage word sense tagger that maximizes semantic relatedness. In: Proceedings of human language technologies: the 2009 annual conference of the north american chapter of the association for computational linguistics, companion volume: demonstration session. ACL, pp 17–20
39. Pedersen T, Patwardhan S, Michelizzi J (2004) WordNet::similarity: measuring the relatedness of concepts. In: Proceedings of human language technologies: the 2004 annual conference of the north American Chapter of the Association for Computational Linguistics, companion volume: demonstration session. ACL, pp 38–41
40. Rada R, Mili H, Bicknell E, Blettner M (1989) Development and application of a metric on semantic nets. IEEE Trans Syst Man Cybern 19(1):17–30
41. Resnik P (1995) Using information content to evaluate semantic similarity in a taxonomy. In: Proceedings of the 14th international joint conference on artificial intelligence, IJCAI’95, vol 1. Morgan Kaufmann, pp 448–453
42. Robinson W (1957) The statistical measurement of agreement. Am Sociol Rev 22(1):17–25
43. Rodgers J, Nicewander W (1988) Thirteen ways to look at the correlation coefficient. Am Stat 42(1):59–66
44. Rodríguez M, Egenhofer M (2004) Comparing geospatial entity classes: an asymmetric and context-dependent similarity measure. Int J Geogr Inf Sci 18(3):229–256
45. Rubenstein H, Goodenough J (1965) Contextual correlates of synonymy. Commun ACM 8(10):627–633
46. Schütze H (1998) Automatic word sense discrimination. Comput Linguist 24(1):97–123
47. Schwering A (2008) Approaches to semantic similarity measurement for geo-spatial data: a survey. Trans GIS 12(1):5–29
48. Schwering A, Kuhn W (2009) A hybrid semantic similarity measure for spatial information retrieval. Spat Cogn Comput 9(1):30–63
49. Schwering A, Raubal M (2005) Spatial relations for semantic similarity measurement. In: Perspectives in conceptual modeling. LNCS, vol 3770. Springer, pp 259–269
50. Strube G (1992) The role of cognitive science in knowledge engineering. Contemp Knowl Eng Cogn 622:159–174
51. Tobler W (1970) A computer movie simulating urban growth in the Detroit region. In: Economic geography. Supplement: proceedings. International Geographical Union. Commission on quantitative methods, vol 46. Clark University, Worcester, pp 234–240
52. Toutanova K, Klein D, Manning C, Singer Y (2003) Feature-rich part-of-speech tagging with a cyclic dependency network. In: Proceedings of the 2003 conference of the North American chapter of the association for computational linguistics on human language technology, vol 1. ACL, pp 173–180
53. Turney P (2006) Similarity of semantic relations. Comput Linguist 32(3):379–416
54. Tversky A (1977) Features of similarity. Psychol Rev 84(4):327–352
55. Wang C, Wang J, Xie X, Ma WY (2007) Mining geographic knowledge using location aware topic model. In: Proceedings of the 4th ACM workshop on geographical information retrieval. ACM, pp 65–70
56. Wilcoxon F (1945) Individual comparisons by ranking methods. Biom Bull 1(6):80–83
57. Wright K (2005) Researching internet-based populations: advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. J Comput-Mediated Commun 10(3). http://jcmc.indiana.edu/vol10/issue3/wright.html, article 11