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Volumn 19, Issue 2, 2007, Pages 164-179

Mining generalized associations of semantic relations from textual web content

Author keywords

Association rule mining; RDF mining; Relation association; Text mining

Indexed keywords

ASSOCIATION RULE MINING; RELATION ASSOCIATION; SYSTEMATIC OVERGENERALIZATION REDUCTION; TEXT MINING;

EID: 33846239955     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2007.36     Document Type: Article
Times cited : (45)

References (44)
  • 6
    • 84906925203 scopus 로고    scopus 로고
    • Conceptual Graphs: Draft Proposed American National Standard
    • J.F. Sowa, "Conceptual Graphs: Draft Proposed American National Standard," Proc. Int'l Conf. Computational Science, pp. 1-65, 1999.
    • (1999) Proc. Int'l Conf. Computational Science , pp. 1-65
    • Sowa, J.F.1
  • 7
    • 0032676701 scopus 로고    scopus 로고
    • Ontoseek: Content-Based Access to the Web
    • May/June
    • N. Guarino, C. Masolo, and G. Vetere, "Ontoseek: Content-Based Access to the Web," IEEE Intelligent Systems, vol. 14, no. 3, pp. 70-80, May/June 1999.
    • (1999) IEEE Intelligent Systems , vol.14 , Issue.3 , pp. 70-80
    • Guarino, N.1    Masolo, C.2    Vetere, G.3
  • 10
    • 19544369479 scopus 로고    scopus 로고
    • Mining Generalized Substructures from a Set of Labeled Graphs
    • A. Inokuchi, "Mining Generalized Substructures from a Set of Labeled Graphs," Proc. Int'l Conf. Data Mining, pp. 415-418, 2004.
    • (2004) Proc. Int'l Conf. Data Mining , pp. 415-418
    • Inokuchi, A.1
  • 12
    • 33645990091 scopus 로고    scopus 로고
    • The Human Semantic Web Shifting from Knowledge Push to Knowledge Pull
    • A. Naeve, "The Human Semantic Web Shifting from Knowledge Push to Knowledge Pull," Int'l J. Semantic Web Information Systems, vol. 1, no. 3, pp. 1-30, 2005.
    • (2005) Int'l J. Semantic Web Information Systems , vol.1 , Issue.3 , pp. 1-30
    • Naeve, A.1
  • 13
    • 20344363698 scopus 로고    scopus 로고
    • Semantics for the Semantic Web: The Implicit, the Formal and the Powerful
    • A.P. Sheth, C. Ramakrishnan, and C. Thomas, "Semantics for the Semantic Web: The Implicit, the Formal and the Powerful," Int'l J. Semantic Web Information Systems, vol. 1, no. 1, pp. 1-18, 2005.
    • (2005) Int'l J. Semantic Web Information Systems , vol.1 , Issue.1 , pp. 1-18
    • Sheth, A.P.1    Ramakrishnan, C.2    Thomas, C.3
  • 17
    • 0027621699 scopus 로고
    • Mining Association Rules between Sets of Items In Large Databases
    • R. Agrawal, T. Imielinski, and A.N. Swami, "Mining Association Rules between Sets of Items In Large Databases," Proc. ACM SIGMOD Conf., pp. 207-216, 1993.
    • (1993) Proc. ACM SIGMOD Conf , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.N.3
  • 18
    • 0001882616 scopus 로고
    • Fast Algorithms for Mining Association Rules in Large Databases
    • R. Agrawal and R. Srikant, "Fast Algorithms for Mining Association Rules in Large Databases," Proc. Conf. Very Large Databases, pp. 487-499, 1994.
    • (1994) Proc. Conf. Very Large Databases , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 20
    • 0002663969 scopus 로고    scopus 로고
    • Sampling Large Databases for Association Rules
    • H. Toivonen, "Sampling Large Databases for Association Rules," Proc. Conf. Very Large Databases, pp. 134-145, 1996.
    • (1996) Proc. Conf. Very Large Databases , pp. 134-145
    • Toivonen, H.1
  • 22
    • 0039253846 scopus 로고    scopus 로고
    • Mining Frequent Patterns without Candidate Generation
    • J. Han, J. Pei, and Y. Yin, "Mining Frequent Patterns without Candidate Generation," SIGMOD Record, vol. 29, no. 2, pp. 1-12, 2000.
    • (2000) SIGMOD Record , vol.29 , Issue.2 , pp. 1-12
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 24
    • 84954527859 scopus 로고    scopus 로고
    • Mining Associations in Text in the Presence of Background Knowledge
    • R. Feldman and H. Hirsh, "Mining Associations in Text in the Presence of Background Knowledge," Knowledge Discovery and Data Mining, pp. 343-346, 1996, http://citeseer.ist.psu.edu/feldman96mining.html.
    • (1996) Knowledge Discovery and Data Mining , pp. 343-346
    • Feldman, R.1    Hirsh, H.2
  • 25
    • 0000355210 scopus 로고    scopus 로고
    • Multipass Algorithms for Mining Association Rules in Text Databases
    • J.D. Holt and S.M. Chung, "Multipass Algorithms for Mining Association Rules in Text Databases," Knowledge Information System, vol. 3, no. 2, pp. 168-183, 2001.
    • (2001) Knowledge Information System , vol.3 , Issue.2 , pp. 168-183
    • Holt, J.D.1    Chung, S.M.2
  • 26
    • 84948977443 scopus 로고    scopus 로고
    • M.M. y Gómez, A.F. Gelbukh, and A. López-López, Text Mining at Detail Level Using Conceptual Graphs, Proc. Int'l Conf. Complex Systems, pp. 122-136, 2002.
    • M.M. y Gómez, A.F. Gelbukh, and A. López-López, "Text Mining at Detail Level Using Conceptual Graphs," Proc. Int'l Conf. Complex Systems, pp. 122-136, 2002.
  • 29
    • 84941301490 scopus 로고    scopus 로고
    • A New Statistical Parser Based on Bigram Lexical Dependencies
    • M. Collins, "A New Statistical Parser Based on Bigram Lexical Dependencies," Proc. Conf. Assoc. Computational Linguistics, pp. 184-191, 1996.
    • (1996) Proc. Conf. Assoc. Computational Linguistics , pp. 184-191
    • Collins, M.1
  • 30
    • 3442899633 scopus 로고    scopus 로고
    • From a Children's First Dictionary to a Lexical Knowledge Base of Conceptual Graphs,
    • PhD dissertation
    • C. Barriere, "From a Children's First Dictionary to a Lexical Knowledge Base of Conceptual Graphs," PhD dissertation, 1997.
    • (1997)
    • Barriere, C.1
  • 31
    • 84976702763 scopus 로고
    • Wordnet: A Lexical Database For English
    • G.A. Miller, "Wordnet: A Lexical Database For English," Comm. ACM, vol. 38, no. 11, pp. 39-41, 1995.
    • (1995) Comm. ACM , vol.38 , Issue.11 , pp. 39-41
    • Miller, G.A.1
  • 32
    • 0012990385 scopus 로고
    • Automatic Acquisition of Hyponyms from Large Text Corpora
    • M.A. Hearst, "Automatic Acquisition of Hyponyms from Large Text Corpora," Proc. 14th Conf. Computational Linguistics, pp. 539-545, 1992.
    • (1992) Proc. 14th Conf. Computational Linguistics , pp. 539-545
    • Hearst, M.A.1
  • 34
    • 85017371958 scopus 로고    scopus 로고
    • Comparing Conceptual, Divisive and Agglomerative Clustering for Learning Taxonomies from Text
    • P. Cimiano, A. Hotho, and S. Staab, "Comparing Conceptual, Divisive and Agglomerative Clustering for Learning Taxonomies from Text," Proc. European Conf. Artificial Intelligence, pp. 435-439, 2004, citeseer.ist.psu.edu/630486.html.
    • (2004) Proc. European Conf. Artificial Intelligence , pp. 435-439
    • Cimiano, P.1    Hotho, A.2    Staab, S.3
  • 36
    • 33746763436 scopus 로고    scopus 로고
    • Products and Services Ontologies: A Methodology for Deriving Owl Ontologies from Industrial Categorization Standards
    • M. Hepp, "Products and Services Ontologies: A Methodology for Deriving Owl Ontologies from Industrial Categorization Standards," Int'l J. Semantic Web Information Systems, vol. 2, no. 1, pp. 72-99, 2006.
    • (2006) Int'l J. Semantic Web Information Systems , vol.2 , Issue.1 , pp. 72-99
    • Hepp, M.1
  • 38
    • 0002542095 scopus 로고    scopus 로고
    • Combining Lexical Context and Wordnet Similarity for Word Sense Identification
    • C. Leacock and M. Chodorow, "Combining Lexical Context and Wordnet Similarity for Word Sense Identification," WordNet: An Electronic Lexical Database, 1998.
    • (1998) WordNet: An Electronic Lexical Database
    • Leacock, C.1    Chodorow, M.2
  • 39
    • 85015920753 scopus 로고    scopus 로고
    • An Intrinsic Information Content Metric for Semantic Similarity in Wordnet
    • N. Seco, T. Veale, and J. Hayes, "An Intrinsic Information Content Metric for Semantic Similarity in Wordnet," Proc. European Conf. Artificial Intelligence, pp. 1089-1090, 2004.
    • (2004) Proc. European Conf. Artificial Intelligence , pp. 1089-1090
    • Seco, N.1    Veale, T.2    Hayes, J.3
  • 40
    • 0040220988 scopus 로고    scopus 로고
    • Semantic Distance in Wordnet: An Experimental, Application-Oriented Evaluation of Five Measures
    • A. Budanitsky, "Semantic Distance in Wordnet: An Experimental, Application-Oriented Evaluation of Five Measures," Proc. Workshop WordNet and Other Lexical Resources, citeseer.ist.psu.edu/ budanitsky01semantic.html, 2001.
    • (2001) Proc. Workshop WordNet and Other Lexical Resources
    • Budanitsky, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.