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Volumn 1, Issue , 2011, Pages 283-289

Semantic clustering based on ontologies: An application to the study of visitors in a natural reserve

Author keywords

Clustering; Numerical and categorical data; Ontologies; Semantic similarity; Tourism analysis

Indexed keywords

CATEGORICAL DATA; CLUSTERING; CLUSTERING RESULTS; HIERARCHICAL CLUSTERING METHODS; MULTI VARIATE ANALYSIS; NATURAL RESERVES; QUALITY OF DATA; SEMANTIC CLUSTERING; SEMANTIC SIMILARITY; TOURISM ANALYSIS;

EID: 79960118355     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (11)
  • 1
    • 34447330447 scopus 로고    scopus 로고
    • A k-mean clustering algorithm for mixed numeric and categorical data
    • DOI 10.1016/j.datak.2007.03.016, PII S0169023X0700050X
    • Ahmad, A., and Dey, L. (2007). A k-mean clustering algorithm for mixed numeric and categorical data. Data Knowledge Engineering, 63(2), 503-527. (Pubitemid 47053940)
    • (2007) Data and Knowledge Engineering , vol.63 , Issue.2 , pp. 503-527
    • Ahmad, A.1    Dey, L.2
  • 2
    • 79960127970 scopus 로고    scopus 로고
    • Coastal tourism in Natural Parks. An analysis of demand profiles and recreational uses in coastal protected natural areas
    • Anton-Clavé, S., Nel-lo, M.-G., and Orellana, A. (2007). Coastal tourism in Natural Parks. An analysis of demand profiles and recreational uses in coastal protected natural areas. Revista Turismo & Desenvolvimento, 7-8, 69-81.
    • (2007) Revista Turismo & Desenvolvimento , vol.7-8 , pp. 69-81
    • Anton-Clavé, S.1    Nel-lo, M.-G.2    Orellana, A.3
  • 3
    • 79551534113 scopus 로고    scopus 로고
    • Exploiting Taxonomical Knowledge to Compute Semantic Similarity: An Evaluation in the Biomedical Domain
    • Trends in Applied Intelligent Systems. 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Springer
    • Batet, M., Sanchez, D., Valls, A., and Gibert, K. (2010). Exploiting Taxonomical Knowledge to Compute Semantic Similarity: An Evaluation in the Biomedical Domain. In Trends in Applied Intelligent Systems. 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, LNAI 6096 (pp. 274-283): Springer.
    • (2010) LNAI , vol.6096 , pp. 274-283
    • Batet, M.1    Sanchez, D.2    Valls, A.3    Gibert, K.4
  • 4
    • 0004289791 scopus 로고    scopus 로고
    • Cambridge, Massachusetts: MIT Press. More Information
    • Fellbaum, C. (1998). WordNet: An Electronic Lexical Database. Cambridge, Massachusetts: MIT Press. More Information: http://wordnet.princeton.edu.
    • (1998) WordNet: An Electronic Lexical Database
    • Fellbaum, C.1
  • 5
    • 0040379165 scopus 로고    scopus 로고
    • Weighting Quantitative and Qualitative Variables in Clustering Methods
    • Third Hispano-Polish Symposium on System Analysis and Computer Science
    • Gibert, K., and Cortés, U. (1997). Weighing quantitative and qualitative variables in clustering methods. Mathware and Soft Computing, 4(3), 251-266. (Pubitemid 128025484)
    • (1997) Mathware & soft computing , vol.4 , Issue.3 , pp. 251-266
    • Gibert, K.1    Cortes, U.2
  • 6
    • 0002542095 scopus 로고    scopus 로고
    • Combining local context and WordNet similarity for word sense identification
    • MIT Press
    • Leacock, C., and Chodorow, M. (1998). Combining local context and WordNet similarity for word sense identification. In WordNet: An electronic lexical database (pp. 265-283): MIT Press.
    • (1998) WordNet: An Electronic Lexical Database , pp. 265-283
    • Leacock, C.1    Chodorow, M.2
  • 10
  • 11
    • 84944178665 scopus 로고
    • Hierarchical Grouping to Optimize an Objective Function
    • Ward, J. H. (1963). Hierarchical Grouping to Optimize an Objective Function. Journal of the American Statistical Association, 58, 236-244.
    • (1963) Journal of the American Statistical Association , vol.58 , pp. 236-244
    • Ward, J.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.