• International Journal of Knowledge Content Development & Technology
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• v.10 no.4
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• pp.47-64
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• 2020

The study investigated the role of libraries in curtailing the spread of COVID-19 pandemic in Nigeria. Six research objectives were raised to guide the conduct of the study. The survey type of the descriptive research design was employed. The population of the study comprised of 139 selected librarians in Nigeria. The complete enumerative sampling technique was adopted to study the entire 139 librarians. The instrument for data collection was an online survey questionnaire designed by the researchers using SurveyMonkey and administered to the respondents via the Nigerian Library Association (NLA) WhatsApp group and the NLA Google group. The data collected were analyzed using descriptive statistics. The study revealed that among the services delivered by Nigerian libraries amidst the global pandemic are COVID-19 awareness and sensitization creation, provision of digital contents to patron, organizing online streaming programs and connecting patrons/citizens to accurate and reliable data on COVID-19 cases around the world. The study further revealed that these services are delivered frequently despite the low level of Nigerian libraries' preparedness for global pandemic. The study concluded that, Nigerian libraries, through their services, are potent weapon for promoting positive change, development, orientation, and re-orientation in the society. By creating COVID-19 awareness/sensitization (especially in rural areas), libraries are able to contribute significantly to the fight against the pandemic.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.489-498
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• 2012

This paper consists of two parts: In the first part, we describe our work to build hierarchical knowledge base of digital library patron's research interests and learning topics in various scholarly areas through analyzing well classified Electronic Theses and Dissertations (ETDs) of NDLTD Union catalog. Journal articles from ACM Transactions and conference web sites of computing areas also are added in the analysis to specialize computing fields. This hierarchical knowledge base would be a useful tool for many social computing and information service applications, such as personalization, recommender system, text mining, technology opportunity mining, information visualization, and so on. In the second part, we compare four grouping algorithms to select best one for our data mining researches by testing each one with the hierarchical knowledge base we described in the first part. From these two studies, we intent to show traditional verification methods for social community miming researches, based on interviewing and answering questionnaires, which are expensive, slow, and privacy threatening, can be replaced with systematic, consistent, fast, and privacy protecting methods by using our suggested hierarchical knowledge base.