PIKIP_DL

Abstract

Purpose -The purpose of the paper is to conduct an exploratory study that proposes a personalized knowledge integration platform for digital libraries which can provide users with personalized information and knowledge services. Design/methodology/approach -A prototype system (PIKIP DL ) is designed and developed with two types of service, i.e. personalized information/knowledge service and personalized subject category service. Evaluation of the PIKIP DL by domain specialists and software experts is conducted. Comments are implications are addressed. Findings -The main findings include the following: the proposed system can help suggest materials that readers are interested in for DL; the proposed system can help construct knowledge contents in a hierarchical structure; and a common recommendation concerning knowledge structure from the reviewers is that the proposed system should add a self-organizing knowledge map function that would allow users to view knowledge subjects in a graphic manner. Practical implications -The results from the evaluation of reviewers revealed that the proposed PIKIP DL is acceptable to the integration of both personalized information service and personalized knowledge subject service. This implies that librarians and DL software agents should place emphasis on integrated service development to attract the attention of their users. Towards this goal, they could explain that personalized services (e.g. material recommendation, message recommendation, knowledge subject materials) with a mechanism of multi-resource integration can help provide DL resources according to users' needs and wants, and in consequence to enhance DL service efficacy. Originality/value -The research describes the importance of information/knowledge integration with respect to its support on the learning and study methods of users, and has developed a personalized knowledge integration platform as a mechanism that provides a personalized information service and a personalized knowledge subject category service. By employing Apriori algorithm and association rules as the data mining mechanism, personalized information recommendations are derived from circulation data, and a knowledge subject category is integrated from online sharing knowledge by participants.

Factors affecting the adoption of integrated semantic digital libraries (SDLs): a systematic review

“…Skilled human resources and financial resources should be available for the efficient functioning of the integrated semantic digital library system. These findings are in consonance with the research results conducted by Mayr et al (2008), Burke (2009), He et al (2010), Lee (2011), Kao and Wu (2012), Morato et al (2013), Pattuelli and Miller (2015), Dasgupta et al (2015), Solomou and Koutsomitropoulos (2015), Yan et al (2016), Cole et al (2017), Gul and Bano (2019), Warraich and Rorissa (2020), Ali et al (2021), Mehta (2021), Su (2021.…”

“…User-centered factors. User-centered approaches, personalized subject category service, personalized assistance to users in finding required content (Kao and Wu, 2012), social network-centric perspectives, open access movement (Cole et al, 2017;Saarti and Touminen, 2021), meaningful connections among individuals in a unified discovery place, support in teaching and learning via interactive and engaging ways (Pattuelli and Miller, 2015), emerging smart technologies, bridging the gap between the services offered by the libraries and the rapidly changing and competing needs of the humans, data curation (Gul and Bano, 2019), perceived usefulness, perceived ease of use (Yan et al, 2016), the effectiveness of learning process, powerful and flexible collection management capabilities and knowledgerich contents representation were key factors in motivating library leadership to adopt integrated semantic digital libraries to satisfy changing needs of the users' community (He et al, 2010).…”

“…User-centered approaches, personalized subject category service, personalized assistance to users in finding required content (Kao and Wu, 2012), social network-centric perspectives, open access movement (Cole et al. , 2017; Saarti and Touminen, 2021), meaningful connections among individuals in a unified discovery place, support in teaching and learning via interactive and engaging ways (Pattuelli and Miller, 2015), emerging smart technologies, bridging the gap between the services offered by the libraries and the rapidly changing and competing needs of the humans, data curation (Gul and Bano, 2019), perceived usefulness, perceived ease of use (Yan et al.…”

“…An in-depth comprehension of information or knowledge modeling based on the preference of users in general, and their needs and wants, in particular, was required (Kao and Wu, 2012). A dynamic mechanism for increasing the user-based customized demands should be implemented (Pattuelli and Miller, 2015;Dasgupta et al, 2015;and Gul and Bano, 2019).…”

“…Rapid progress in information and communication technologies (ICTs) has given rise to digital resources through the Internet (Kao and Wu, 2012). Information technology (IT) has brought innovative methods in service delivery techniques related to digital libraries (Hendrix, 2010).…”