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Benoit, Edward, III; Munson, Amanda L. – portal: Libraries and the Academy, 2018
Based on a comparison of two nearly identical surveys in 2010 and 2016, this study examines the deepening practitioner concern over the use of social tagging within digital collections during the past six years. While participants reported a greater level of experience and increased use of social tagging, concerns regarding control, consistency,…
Descriptors: Electronic Libraries, Comparative Analysis, Librarians, Indexing
El Guemmat, Kamal; Ouahabi, Sara – International Journal of Information and Communication Technology Education, 2018
The objective of this article is to analyze the searching and indexing techniques of educational search engines' implementation while treating future challenges. Educational search engines could greatly help in the effectiveness of e-learning if used correctly. However, these engines have several gaps which influence the performance of e-learning…
Descriptors: Indexing, Search Strategies, Educational Research, Search Engines
Chapman, Suzanne; Desai, Shevon; Hagedorn, Kat; Varnum, Ken; Mishra, Sonali; Piacentine, Julie – Journal of Web Librarianship, 2013
The University of Michigan Library wanted to learn more about the kinds of searches its users were conducting through the "one search" search box on the Library Web site. Library staff conducted two investigations. A preliminary investigation in 2011 involved the manual review of the 100 most frequently occurring queries conducted…
Descriptors: Academic Libraries, Web Sites, Online Searching, Classification
Yilmazel, Ozgur – Turkish Online Journal of Distance Education, 2011
This paper reports on a guided navigation system built on the textbook search engine developed at Anadolu University to support distance education students. The search engine uses Turkish Language specific language processing modules to enable searches over course material presented in Open Education Faculty textbooks. We implemented a guided…
Descriptors: Distance Education, Search Engines, Language Processing, Information Retrieval