Automatic Keyword Extraction for Learning Object Repositories

Description:

This article discusses automatic keyword extraction for learning object repositories.

Creator(s):
Creation Date: October 2008
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Total Uses: 297
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Creator (Author):
Coursey, Kino High

University of North Texas; Daxtron Laboratories

Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Creator (Author):
Moen, William E.

University of North Texas

Publisher Info:
Place of Publication: [Silver Spring, Maryland]
Date(s):
  • Creation: October 2008
Description:

This article discusses automatic keyword extraction for learning object repositories.

Degree:
Note:

Abstract: This paper describes experiments in metadata generation for learning object repositories. Specifically, the authors present several methods for automatic keyword extraction and evaluate them on a collection of learning objects from an undergraduate history course. The results suggest that automatic keyword extraction is a viable solution for suggesting terms and phrases for metadata annotation.

Physical Description:

8 p.

Language(s):
Subject(s):
Keyword(s): metadata | keyword extraction | TextRank | Wikifier
Source: American Society for Information Science and Technology Annual Meeting, 2008, Columbus, Ohio, United States
Contributor(s):
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc31003
Resource Type: Paper
Format: Text
Rights:
Access: Public