Accession number:20083511491958
Title:Folksonomy-based indexing for location-aware retrieval of learning contents
Authors:Shih, Wen-Chung (1); Tseng, Shian-Shyong (1)
Author affiliation:(1) Department of Computer Science, Chiao Tung University, Hsinchu, 30010, Taiwan; (2) Department of Information Science and Applications, Asia University, Taichung, 41354, Taiwan Corresponding author:Tseng, S.-S.
(sstseng@cis.nctu.edu.tw)
Source title:Proceedings - 5th IEEE International Conference on Wireless, Mobile, and Ubiquitous Technologies in Education, WMUTE 2008
Abbreviated source title:IEEE Conf. Wirel., Mob., Ubiquitous Technol.
Educ., WMUTE
Monograph title:Proceedings - 5th IEEE International Conference on Wireless, Mobile, and Ubiquitous Technologies in Education, WMUTE 2008
Issue date:2008
Publication year:2008 Pages:143-147
Article number:4489801 Language:English
ISBN-10:0769531083 ISBN-13:9780769531083
Document type:Conference article (CA)
Conference name:5th IEEE International Conference on Wireless, Mobile, and Ubiquitous Technologies in Education, WMUTE 2008 Conference date:March 23, 2008 - March 26, 2008
Conference location:Beijing, China Conference code:73063
Sponsor:WENQUXING Education Research Institute
Publisher:Inst. of Elec. and Elec. Eng. Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract:With the fast development of wireless communication and sensor technologies, ubiquitous learning has become a promising learning paradigm. In context-aware ubiquitous learning
environments, it is desirable that learning content is retrieved
according to environmental contexts, such as learners' location.
However, traditional information retrieval schemes are not designed for content retrieval in ubiquitous learning environments. Recently, folksonomles have emerged as a successful kind of applications for categorizing web resources in a collaborative manner. This paper focuses on the index creation problem for location-aware learning content retrieval. First, we propose a bottom-up approach to constructing the index according to the similarity between tags, which considers metadata and structural information of the teaching materials annotated by the tags. Then, a maintenance mechanism is designed to efficiently update the index. The index creation method has been implemented, and a synthetic learning object repository has been built to evaluate the proposed approach.
Experimental results show that this method can increase precision of retrieval. In addition, impacts of different similarity functions on precision are discussed. © 2008 IEEE.
Number of references:22 Main heading:Education
Controlled terms:Indexing (of information) - Information services - Learning systems - Metadata - Search engines - Technology - Telecommunication
Uncontrolled terms:Bottom-up approach - Content retrieval - Context-aware - Environmental contexts - Folksonomy - Index
creation - Information retrieval - International conferences - Learning contents - Learning object repositories - Learning paradigms -
Location-aware - Sensor technologies - Similarity functions -
Structural informations - Teaching materials - Ubiquitous learning - Ubiquitous technologies - Web resources - Wireless communication Classification code:903.4 Information Services - 903.1 Information Sources and Analysis - 901.2 Education - 901 Engineering Profession - 723 Computer Software, Data Handling and Applications - 716 Telecommunication; Radar, Radio and Television - 461.4 Ergonomics and Human Factors Engineering
DOI:10.1109/WMUTE.2008.11 Database:Compendex
Compilation and indexing terms, Copyright 2009 Elsevier Inc.
