Poster paper for the 2017 International Conference on Knowledge Management. This paper demonstrates the utility of text analytic for theory building and validation in information science.

This paper presents an aggregation approach that learns a regression model from crowdsourced annotations to predict aggregated labels for instances that have no expert adjudications.

This paper shows that introducing mobility increases the rate of convergence in partially connected and disconnected wireless sensor networks (WSN).

This paper focuses on a particular type of abusive language, targeting expressions in which typically neutral adjectives take on pejorative meaning when used as nouns.

Poster presented at the 2017 International Conference on Knowledge Management. This paper proposes that motivating factors of crowdsourcing are conceptually distinct, and that the distinction has differential effects on complexity of task chosen.

This paper describes a study to investigate automatic type classification using machine learning approaches.

This paper explores the possibility of applying Machine Learning for Machine Translation evaluation.

This paper discusses volunteer retention and efficacy for the Texas Quail Index.

This paper presents a framework to understand negation in positive terms.

Presented with a poster at the 2017 University of New Mexico Mentoring Institute Conference Proceedings. This paper includes experiences in assessing a mentoring program for librarians in a large academic library.

Presentation paper for the 2017 International Conference on Knowledge Management. This paper focuses on the empowerment of the individual in light of Personal Knowledge Management (PKM) learning cycles by extending the ignorance matrix in the context of Big Data and Extelligence.

Poster paper for the 2017 International Conference on Knowledge Management. This paper proposes a dimensional model with "aspects of a corpus, such as topic or opinion, as derived star schema dimensions." Focusing on a case study on Twitter the paper demonstrates how the derived dimensions, combined with transactional facts and derived facts can uncover "the collective tacit knowledge in Twitter communities."

Poster paper for the 2017 International Conference on Knowledge Management. This paper studies how general faculty members view open access (OA) publishing.

Presentation paper for the 2017 International Conference on Knowledge Management. This paper introduces a new theoretical model utilizing Turner and Baker’s (2017) Team Emergence Leadership Development and Evaluation (TELDE) model as a tool to facilitate interactions imbedded in complex adaptive systems.

This paper was presented at the 2017 IFLA World Library and Information Congress. This paper contains a summary of the study to discern what students learned from a library and information science service learning study abroad program to Russia in 2012.

This paper discusses a classification on 4 LANDSAT scenes of Clay County, Texas, from July and December 2015 to identify bobwhite habitat in subhumid and semiarid rangeland.

Presentation paper for the 2017 International Conference on Knowledge Management. This paper uses a link prediction algorithm based on Node Embedding to map disease nodes in order to discover disease associations more precisely and predict the risk of certain diseases.

Poster paper for the 2017 International Conference on Knowledge Management. This paper proposes a system of rapid automated assessment of student participation and performance quality in collaborative learning.

Poster paper presented at the 2017 International Conference on Dublin Core and Metadata Applications. This paper describes an experiment in the design of an advanced graduate metadata course.

This paper was presented at the 2016 IFLA World Library and Information Congress Satellite Meeting on Subject Access: Unlimited Opportunities. This paper reports on the change in a sample of MARC 21 library metadata records over a period of two years.

Presented at the 2017 World Textile Conference. This paper presents some considerations regarding the scanning booth used in an anthropometric study done with a 3D body scanning technology.

Presentation paper for the 2017 International Conference on Knowledge Management. This paper examines the level of awareness and understanding of the various issues, challenges, and training needs associated with research data management for Hacettepe University researchers