Presented at the 2017 International Conference on Knowledge Management. This presentation introduces the panel session on Big Data, Ethics and Public Engagement, and introduces crowd-sourcing efforts to preserve big data.
Presentation for the 2017 International Conference on Knowledge Management. This presentation describes a study to understand North America users' interests and information behavior in terms of using Chinese content.
October 25, 2017
Wang, Xin; Chang, Hsia-Ching; Chen, Jiangping & Yang, Jie
Presentation for the 2017 International Conference on Knowledge Management. This presentation describes a study comparing the use of paired medical hashtags on Twitter and the statistical structure of the components in the hashtag trails.
Presented at the 2017 International Conference on Knowledge Management during the panel session on Big Data, Ethics and Public Engagement. This presentation discusses the Data Rescue Denton 2017 event.
Presented at the 2017 International Conference on Knowledge Management. This presentation examines uses knowledge discovery and text mining to identify patterns and trends in the data science discipline by examining core course titles of the Data Science curriculum offered in the United States.
Presentation for the 2017 International Conference on Knowledge Management. This presentation describes the use of text mining and visualization to identify collective memory themes in knowledge management literature.
Presentation for the 2017 International Conference on Knowledge Management. This presentation describes a study of literature on the multidisciplinary processes, models, and theories common to both Knowledge Management and Human Resource Development.
October 26, 2017
Mayes, Robin; Tamez, Robin & Allen, Jeff M.
This paper presents results of an exploratory analysis of representation of dates in over 8 million metadata records from the Digital Public Library of America (DPLA), and compares it to Extended Date/Time Format (EDTF) specifications.
November 6, 2015
Zavalina, Oksana; Phillips, Mark Edward; Alemneh, Daniel Gelaw; Tarver, Hannah & Kizhakkethil, Priya
This article discusses the use of network analysis through the creation Metadata Record Graphs to analyze the interconnectedness of subject and keywords in the University of North Texas Theses and Dissertations collection. The analysis compares overlap of controlled terms (Library of Congress Subject Headings) and uncontrolled terms (keywords), as well as the effects of basic format normalization (to simulate editing values for consistency) to evaluate how well subjects connect in the collection.
Phillips, Mark Edward; Tarver, Hannah & Zavalina, Oksana
Presentation for the 22nd International Symposium on Electronic Theses and Dissertations (ETD 2019), discussing the use of network analysis to evaluate subjects in the University of North Texas (UNT) Libraries' ETD collection.
This paper analyzes the relationship between subject terms -- both authorized terms from controlled vocabularies and free-text keywords -- used to succinctly describe the content of the electronic theses and dissertations (ETDs) and the search terms entered by users to discover and access the ETDs. Identification of search terms and comparison of search results with subject terms used in describing ETDs provides a basis for assessing the relative usefulness of controlled-vocabulary subject terms supplied by professional indexers and free-text keywords supplied by authors of ETDs in facilitating access to ETDs. Arguably, there has been a shift in the way users search, access, and use information resources.
Alemneh, Daniel Gelaw; Zavalina, Oksana; Tarver, Hannah; Zavalin, Vyacheslav; Phillips, Mark Edward & Kizhakkethil, Priya