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Volumn 4822 LNCS, Issue , 2007, Pages 337-346

Using automatic metadata extraction to build a structured syllabus repository

Author keywords

[No Author keywords available]

Indexed keywords

CURRICULA; INFORMATION RETRIEVAL; STUDENTS; WORLD WIDE WEB;

EID: 38149110388     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77094-7_43     Document Type: Conference Paper
Times cited : (11)

References (13)
  • 1
    • 0037669115 scopus 로고    scopus 로고
    • Draft standard for learning technology - Learning Object Metadata - ISO/IEC 11404
    • Technical report
    • Hodgins, W., Duval, E.: Draft standard for learning technology - Learning Object Metadata - ISO/IEC 11404. Technical report (2002)
    • (2002)
    • Hodgins, W.1    Duval, E.2
  • 2
    • 84996678707 scopus 로고    scopus 로고
    • Information extraction: Distilling structured data from unstructured text
    • November
    • Mccallum, A.: Information extraction: Distilling structured data from unstructured text. ACM Queue 3(9) (November 2005)
    • (2005) ACM Queue , vol.3 , Issue.9
    • Mccallum, A.1
  • 9
    • 38149106843 scopus 로고    scopus 로고
    • Tungare, M., Yu, X., Teng, G., P érez Quiñones, M., Fox, E., Fan, W., Cassel, L.: Towards a standardized representation of syllabi to facilitate sharing and personalization of digital library content. In: Proceedings of the 4th International Workshop on Applications of Semantic Web Technologies for E-Learning (SW-EL) (2006)
    • Tungare, M., Yu, X., Teng, G., P érez Quiñones, M., Fox, E., Fan, W., Cassel, L.: Towards a standardized representation of syllabi to facilitate sharing and personalization of digital library content. In: Proceedings of the 4th International Workshop on Applications of Semantic Web Technologies for E-Learning (SW-EL) (2006)
  • 11
    • 38149018752 scopus 로고    scopus 로고
    • de Larios-Heiman, L, Cracraft, C, SyIViA: The Syllabus Viewer Application
    • de Larios-Heiman, L., Cracraft, C.: (SyIViA: The Syllabus Viewer Application)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.