Abstract
The extension of the actual university library information systems (ULISs), in order to offer intelligent support for the registered students, was identified - both by users and specialists - as a necessity. During the documentation process, performed by the students in the library, the need to formulate various issues for which they wish to find rapid answers frequently emerges. The students’ requests could be very diverse, ranging from simple questions to complex issues. Our paper introduces a type of complex, intelligent university library information system that we refer to as NextGenULIS. A NextGenULIS is able to intelligently support students in finding answers to the issues formulated within a network of students, teachers and other possible intelligent agents. Several novel related paradigms, such as hybridization of a library information system, specialization in providing support, and complexity hiding, are also proposed. NextGenULIS is briefly compared with a recently introduced ULIS called IntelligUnivLibSys.
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Acknowledgment
The authors acknowledge the support of the project “Bacău and Lugano - Teaching Informatics for a Sustainable Society”, co-financed by a grant from Switzerland through the Swiss Contribution to the enlarged European Union.
This publication does not necessarily reflect the position of the Swiss government. The responsibility for its content lies entirely with the authors.
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Iantovics, L.B., Rotar, C., Nechita, E. (2018). Intelligent University Library Information Systems to Support Students Efficient Learning. In: Cheng, L., Leung, A., Ozawa, S. (eds) Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science(), vol 11306. Springer, Cham. https://doi.org/10.1007/978-3-030-04224-0_17
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