메뉴 건너뛰기




Volumn 5782 LNAI, Issue PART 2, 2009, Pages 286-301

Statistical relational learning with formal ontologies

Author keywords

[No Author keywords available]

Indexed keywords

DESCRIPTION LOGIC; ENTITY-RELATIONSHIP; FORMAL KNOWLEDGE; FORMAL ONTOLOGY; FORMAL REPRESENTATIONS; GRAPHICAL MODEL; LEARNING APPROACH; LEARNING TASKS; LOGICAL CONSTRAINTS; ONTOLOGICAL CONSTRAINTS; PREDICTIVE PERFORMANCE; PRIOR KNOWLEDGE; SATISFIABILITY; SOCIAL NETWORKS; STATISTICAL INFERENCE; STATISTICAL RELATIONAL LEARNING;

EID: 70349969739     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04174-7_19     Document Type: Conference Paper
Times cited : (29)

References (15)
  • 11
    • 45449112152 scopus 로고    scopus 로고
    • Adding data mining support to sparql via statistical relational learning methods
    • Bechhofer, S., Hauswirth, M., Ho.mann, J., Koubarakis, M. (eds.) Springer, Heidelberg
    • Kiefer, C., Bernstein, A., Locher, A.: Adding Data Mining Support to SPARQL via Statistical Relational Learning Methods. In: Bechhofer, S., Hauswirth, M., Ho.mann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol.5021, pp. 478-492. Springer, Heidelberg (2008)
    • (2008) ESWC 2008. LNCS , vol.5021 , pp. 478-492
    • Kiefer, C.1    Bernstein, A.2    Locher, A.3
  • 12
    • 70349948313 scopus 로고    scopus 로고
    • Induction of classi.ers through nonparametric methods for approximate classification and retrieval with ontologies
    • Fanizzi, N., d'Amato, C., Esposito, F.: Induction of classi.ers through nonparametric methods for approximate classification and retrieval with ontologies. International Journal of Semantic Computing 2(3), 403-423 (2008)
    • (2008) International Journal of Semantic Computing , vol.2 , Issue.3 , pp. 403-423
    • Fanizzi, N.1    D'Amato, C.2    Esposito, F.3
  • 13
    • 44649108943 scopus 로고    scopus 로고
    • A multi-relational hierarchical clustering method for datalog knowledge bases
    • An, A., Matwin, S., Rás, Z.W., ́Sl -ezak, D. (eds.) Springer, Heidelberg
    • Fanizzi, N., D'Amato, C., Esposito, F.: A multi-relational hierarchical clustering method for datalog knowledge bases. In: An, A., Matwin, S., Rás, Z.W., ́Sl -ezak, D. (eds.) Foundations of Intelligent Systems. LNCS (LNAI), vol.4994, pp. 137-142. Springer, Heidelberg (2008)
    • (2008) Foundations of Intelligent Systems. LNCS (LNAI) , vol.4994 , pp. 137-142
    • Fanizzi, N.1    D'Amato, C.2    Esposito, F.3
  • 15
    • 33847358712 scopus 로고    scopus 로고
    • The complexity of non-hierarchical clustering with instance and cluster level constraints
    • Davidson, I., Ravi, S.S.: The complexity of non-hierarchical clustering with instance and cluster level constraints. Data Min. Knowl. Discov. 14(1), 25-61 (2007)
    • (2007) Data Min. Knowl. Discov. , vol.14 , Issue.1 , pp. 25-61
    • Davidson, I.1    Ravi, S.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.