메뉴 건너뛰기




Volumn 775, Issue , 2011, Pages 25-37

Representing translations on the semantic Web

Author keywords

Lemon model; Multilingual Linked Data; Multilingual SemanticWeb; Translation relations

Indexed keywords

CITRUS FRUITS;

EID: 84891078136     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (23)
  • 4
    • 79960055985 scopus 로고    scopus 로고
    • Ontology-based semantic lexicons: Mapping between terms and object descriptions
    • Cambridge University Press
    • Buitelaar, P.: Ontology-based Semantic Lexicons: Mapping between Terms and Object Descriptions. In: Ontology and the Lexicon, pp. 212-223. Cambridge University Press (2010)
    • (2010) Ontology and the Lexicon , pp. 212-223
    • Buitelaar, P.1
  • 11
    • 8744275921 scopus 로고
    • A model for translation quality assessment
    • House, J.: A Model for Translation Quality Assessment, Narr, (1977)
    • (1977) Narr
    • House, J.1
  • 17
    • 84955362616 scopus 로고    scopus 로고
    • Building Patterns and Representation Models. LAP LAMBERT Academic Publishing, Germany
    • Montiel-Ponsoda, E.: Multilingualism in Ontologies. Building Patterns and Representation Models. LAP LAMBERT Academic Publishing, Germany (2011)
    • (2011) Multilingualism in Ontologies
    • Montiel-Ponsoda, E.1
  • 19
    • 14044254746 scopus 로고    scopus 로고
    • Textpresso: An ontology-based information retrieval and extraction system for biological literature
    • Müller, H.-M., Kenny, E. E., Sternberg, P. W.: Textpresso: An Ontology-Based Information Retrieval and Extraction System for Biological Literature. PLoS Biol, 2, e309 (2004)
    • (2004) PLoS Biol , vol.2
    • Müller, H.-M.1    Kenny, E.E.2    Sternberg, P.W.3
  • 20
    • 84929065170 scopus 로고
    • Loyalitt statt treue
    • Nord, Ch.: Loyalitt statt Treue. Lebende Sprachen, 34, pp. 100-105 (1989)
    • (1989) Lebende Sprachen , vol.34 , pp. 100-105
    • Nord, Ch.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.