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Volumn 5392 LNCS, Issue , 2008, Pages 31-46

Using fuzzy DLs to enhance semantic image analysis

Author keywords

[No Author keywords available]

Indexed keywords

FORMAL METHODS; IMAGE ANALYSIS; INFORMATION THEORY;

EID: 58849147040     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-92235-3_5     Document Type: Conference Paper
Times cited : (6)

References (26)
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    • Rules-by-example - a novel approach to semantic indexing and querying of images
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    • Little, S., Hunter, J.: Rules-by-example - a novel approach to semantic indexing and querying of images, in: international Semantic Web Conference (1SWC), Hiroshima, Japan, November 7-11, pp. 534-548 (2004)
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    • Little, S.1    Hunter, J.2
  • 5
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    • Schober, J.P., Hermes, T., Herzog, O.: Content-based image retrieval by ontology-based object recognition, in: Biundo, S., Frühwirth, T., Palm, G. (eds.) Ki 2004. LNCS (LNAI), 3238, Springer, Heidelberg (2004)
    • Schober, J.P., Hermes, T., Herzog, O.: Content-based image retrieval by ontology-based object recognition, in: Biundo, S., Frühwirth, T., Palm, G. (eds.) Ki 2004. LNCS (LNAI), vol. 3238, Springer, Heidelberg (2004)
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    • Neumann, B., Moller, R.: On scene interpretation with description logics (FBI-B-257/04) (2004)
    • Neumann, B., Moller, R.: On scene interpretation with description logics (FBI-B-257/04) (2004)
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    • Evaluating the application of semantic inferencing rules to image annotation
    • Banff, Alberta, Canada, October 2-5, pp
    • Hollink, L., Little, S., Hunter, J.: Evaluating the application of semantic inferencing rules to image annotation. In: Proc. international Conference on Knowledge Capture (K-CAP), Banff, Alberta, Canada, October 2-5, pp. 91-98 (2005)
    • (2005) Proc. international Conference on Knowledge Capture (K-CAP) , pp. 91-98
    • Hollink, L.1    Little, S.2    Hunter, J.3
  • 13
    • 77957082943 scopus 로고    scopus 로고
    • Straccia, U.: A fuzzy description logic for the semantic web. in: Sanchez, E. (ed.) Fuzzy Logic and the Semantic Web. Capturing Intelligence, pp. 73-90. Elsevier, Amsterdam (2006)
    • Straccia, U.: A fuzzy description logic for the semantic web. in: Sanchez, E. (ed.) Fuzzy Logic and the Semantic Web. Capturing Intelligence, pp. 73-90. Elsevier, Amsterdam (2006)
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    • The description logic handbook: Theory, implementation, and applications
    • Baader, F, Calvanese, D, McGuinness, D.L, Nardi, D, Patel-Schneider, P.F, eds, Cambridge University Press, Cambridge
    • Baader, F., Calvanese, D., McGuinness, D.L., Nardi, D., Patel-Schneider, P.F. (eds.): The description logic handbook: Theory, implementation, and applications. In: Description Logic Handbook. Cambridge University Press, Cambridge (2003)
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    • Straccia, U.: Reasoning within fuzzy description logics. J. Artif. Intell. Res (JA1R) 14, 137-166 (2001)
    • Straccia, U.: Reasoning within fuzzy description logics. J. Artif. Intell. Res (JA1R) 14, 137-166 (2001)
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    • Transforming fuzzy description logics into classical description logics
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    • Straccia, U.: Transforming fuzzy description logics into classical description logics. In: Proc. European Conference on Logics in Artificial Intelligence (JEL1A), Lisbon, Portugal, September 27-30, pp. 385-399 (2004)
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    • Randomized clustering forests for building fast and discriminative visual vocabularies
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.