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Volumn 4862 LNCS, Issue , 2008, Pages 306-320

Structured document retrieval, multimedia retrieval, and entity ranking using PF/Tijah

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; INFORMATION MANAGEMENT; KETONES; LEARNING SYSTEMS; MARKUP LANGUAGES; MULTIMEDIA SYSTEMS; NUMERICAL ANALYSIS; XML;

EID: 51849114763     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85902-4_27     Document Type: Conference Paper
Times cited : (21)

References (15)
  • 4
    • 85088753289 scopus 로고
    • A linguistically motivated probabilistic model of information retrieval
    • ECDL, Springer, Heidelberg
    • Hiemstra, D.: A linguistically motivated probabilistic model of information retrieval. In: ECDL 1991. LNCS, vol. 513, pp. 569-584. Springer, Heidelberg (1991)
    • (1991) LNCS , vol.513 , pp. 569-584
    • Hiemstra, D.1
  • 7
    • 4243148480 scopus 로고    scopus 로고
    • Authoritative sources in a hyperlinked environment
    • Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. Journal of the ACM 46(5), 604-632 (1999)
    • (1999) Journal of the ACM , vol.46 , Issue.5 , pp. 604-632
    • Kleinberg, J.M.1
  • 10
    • 0003780986 scopus 로고    scopus 로고
    • The PageRank citation ranking: Bringing order to the web
    • Technical report, Stanford University
    • Lawrence, P., Sergey, B., Motwani, R., Winograd, T.: The PageRank citation ranking: Bringing order to the web. Technical report, Stanford University (1998)
    • (1998)
    • Lawrence, P.1    Sergey, B.2    Motwani, R.3    Winograd, T.4
  • 12
    • 51849148968 scopus 로고    scopus 로고
    • Serdyukov, P., Rode, H., Hiemstra, D.: University of Twente at the TREC 2007 Enterprise Track: Modeling relevance propagation for the expert search task. In: Proceedings of the 16th Text REtrieval Conference (2007)
    • Serdyukov, P., Rode, H., Hiemstra, D.: University of Twente at the TREC 2007 Enterprise Track: Modeling relevance propagation for the expert search task. In: Proceedings of the 16th Text REtrieval Conference (2007)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.