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Volumn 1 ISAS, Issue , 2008, Pages 58-65

Using association rules to learn concept relationships in ontologies

Author keywords

Association rules; Domain modelling; Ontology engineering; Text mining

Indexed keywords

AUTOMATIC TOOLS; COSINE SIMILARITIES; DO-MAINS; DOMAIN MODELLING; EXTRACTING CONCEPTS; ONTOLOGY CONCEPTS; ONTOLOGY ENGINEERING; ONTOLOGY LEARNINGS; TEXT MINING;

EID: 55949113322     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (18)
  • 4
    • 33749657990 scopus 로고    scopus 로고
    • Ontologies on demand? A description of the state-of-the-art, applications, challenges and trends for ontology learning from text
    • Cimiano, P., Völker, J., & Studer, R. (2006). Ontologies on demand? A description of the state-of-the-art, applications, challenges and trends for ontology learning from text. Information, Wissenschaft und Praxis, 57(6-7), 315-320.
    • (2006) Information, Wissenschaft und Praxis , vol.57 , Issue.6-7 , pp. 315-320
    • Cimiano, P.1    Völker, J.2    Studer, R.3
  • 14
    • 22944440839 scopus 로고    scopus 로고
    • Learning domain ontologies from document warehouses and dedicated websites
    • Navigli, R., & Velardi, P. (2004). Learning domain ontologies from document warehouses and dedicated websites. Computational Linguistics, 30(2), 151-179.
    • (2004) Computational Linguistics , vol.30 , Issue.2 , pp. 151-179
    • Navigli, R.1    Velardi, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.