메뉴 건너뛰기




Volumn , Issue , 2007, Pages 269-272

Evaluation of an information retrieval system for the semantic desktop using standard measures from information retrieval

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL RESEARCH; SEMANTIC DESKTOP; SYSTEM EVALUATION; TEST CORPUS;

EID: 77952605890     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (15)
  • 6
    • 84874014786 scopus 로고    scopus 로고
    • Information Retrieval: Skriptum zur Vorlesung im SS 06, 19
    • Norbert Fuhr. Information Retrieval: Skriptum zur Vorlesung im SS 06, 19. Dezember 2006, 2006
    • (2006) Dezember 2006
    • Fuhr, N.1
  • 8
    • 57349132379 scopus 로고    scopus 로고
    • Two protégé plug-ins for supporting document-based ontology engineering and ontological annotation at document level
    • July 15-18 Budapest, Hungary
    • Viktoria Pammer, Peter Scheir, and Stefanie Lindstaedt. Two protégé plug-ins for supporting document-based ontology engineering and ontological annotation at document level. In 10th International Protégé Conference-July 15-18, 2007-Budapest, Hungary, 2007
    • (2007) 10th International Protégé Conference
    • Pammer, V.1    Scheir, P.2    Lindstaedt, S.3
  • 10
    • 51849092353 scopus 로고    scopus 로고
    • Improving search on the semantic desktop using associative retrieval techniques
    • accepted for publication. Available online under: (01.09.2007
    • Peter Scheir, Chiara Ghidini, and Stefanie N. Lindstaedt. Improving search on the semantic desktop using associative retrieval techniques. In Proceedings of I-SEMANTICS 2007 (accepted for publication), 2007. Available online under: http://www.know-center.tugraz.at/media/files/wissensbilanz/ publications-wm/papers/2007-scheir-improving-search- on-the-semantic-desktop-pdf (01.09.2007)
    • (2007) Proceedings of I-SEMANTICS 2007
    • Scheir, P.1    Ghidini, C.2    Lindstaedt, S.N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.