Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)

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Library Best Practices Expert System (LIBPES): Proposal for a Conceptual Prototype


Affiliations
1 Department of Library and Information Science, Bangalore North University, Kolar – 563103, Karnataka, India
2 ISRO, Bengaluru – 560017, Karnataka, India
     

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Artificial Intelligence (AI) concepts and technologies can assist Library Professionals in Library management by providing information support systems such as Recommendation Systems, Expert Systems (ES), and Decision Support Systems. This paper proposes the application of AI in Library and information practice through an Expert System for Library management namely Library Best Practices Expert System (LIBPES). The proposed approach is expected to provide situation specific advice based on user (Library Professional) input and requests using case specific data from Five Laws of Library Science, LIS Expert suggestions and various Library Standards, theories, guidelines and principles. The detailed architecture of the proposed expert system and the various User Interface modules are described. While there is some literature on the use of expert systems in libraries, there is no work on giving an all-inclusive search result to the decision maker. Hence, the proposed system can be a basic companion to any Librarian or a library policy maker for overall Library management and decision making.

Keywords

Artificial Intelligence, Expert Systems, Library Management, Library Services.
User
About The Authors

Bhalachandra S. Deshpande
Department of Library and Information Science, Bangalore North University, Kolar – 563103, Karnataka
India

C. Sajana
ISRO, Bengaluru – 560017, Karnataka
India


Notifications

  • Bilgi, N. B. and Kulkarni, R. V. (2011). TPA-EXPERT: A hybrid legal knowledge based system for Indian legal domain. International Journal of Computer Applications, 975: 8887.

  • Brooks, H. M. (1987). Expert systems and intelligent information retrieval. Information Processing and Management, 23(4): 367-382. https: //doi.org/10.1016/0306-4573(87) 90023-9

  • Clancey, W. J. (1979). Dialogue Management for Rule based Tutorials. In: Proceedings of the 6th International Joint Conference on Artificial Intelligence, 1: 155-161.

  • Duda, R. O. (1979). A computer-based consultant for mineral exploration. Final Report of SRI Project, 6415.

  • Goja, A. (2011). Man, marriage and machine - Adventures in artificial advice, Part 1. Accessed 7 July 2020. Available at: https://www.codeproject.com/Articles/179375/Man-Marriage-and-Machine-Adventures-in-Artificia.

  • Haskin, D. (2003). Years after hype, ‘Expert Systems’ paying off for some. Accessed 7 July 2020. Available at: https://www.datamation.com/netsys/article.php/1570851/Years-After-Hype-Expert-Systems-Paying-Off-For-Some.htm.

  • Henry, C. (2001). The public library service: IFLA/ UNESCO guidelines for development. Accessed 7 July 2020. Available at: https://www.ifla.org/files/assets/hq/ publications/archive/the-public-library-service/publ97. pdf.

  • Jackson, P. (1997). Introduction to Expert Systems Peter Jackson. 3rd ed. Wokingham: Addison-Wesley, p. 2.

  • Lindsay, R. K. (1980). Applications of artificial intelligence for organic chemistry: The DENDRAL Project. McGraw- Hill Companies.

  • Myers, J. D., Pople, H. E. and Miller, R. A. (1982). CADUCEUS: A Computerized Diagnostic Consultation System in Internal Medicine. In: Proceedings of the Annual Symposium on Computer Application in Medical Care, American Medical Informatics Association. p. 44.

  • Poulter, A. (1994). LIS professionals as knowledge engineers. Annual Review of Information Science and Technology (ARIST), 29: 305-350.

  • Ranganathan, S. R. (1931). The five laws of library science. Madras Library Association (Madras, India) and Edward Goldston, London: UK.

  • Sparck Jones, K. (1987). Information Retrieval. In: Encyclopaedia of Artificial Intelligence. Edited by Shapiro, SC. John Wiley & Sons, New York, Vol. 1, p. 419-421.

  • Stallman, R. M. and Sussman, G. J. (1977). Forward reasoning and dependency-directed backtracking in a system for computer-aided circuit analysis. Artificial Intelligence, 9(2): 135-196. https: //doi.org/10.1016/0004-3702(77)90029-7.

  • Waterman, D. A., Lenat, D. B. and Hayes-Roth, F. eds. (1983). Building Expert Systems. Addison-Wesley Publishing Company.

  • Wilkins, D. (1979). Using Plans in Chess. In: Proceedings of the 6th International Joint Conference on Artificial Intelligence, 2: 960-967.


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  • Library Best Practices Expert System (LIBPES): Proposal for a Conceptual Prototype

Abstract Views: 359  |  PDF Views: 4

Authors

Bhalachandra S. Deshpande
Department of Library and Information Science, Bangalore North University, Kolar – 563103, Karnataka, India
C. Sajana
ISRO, Bengaluru – 560017, Karnataka, India

Abstract


Artificial Intelligence (AI) concepts and technologies can assist Library Professionals in Library management by providing information support systems such as Recommendation Systems, Expert Systems (ES), and Decision Support Systems. This paper proposes the application of AI in Library and information practice through an Expert System for Library management namely Library Best Practices Expert System (LIBPES). The proposed approach is expected to provide situation specific advice based on user (Library Professional) input and requests using case specific data from Five Laws of Library Science, LIS Expert suggestions and various Library Standards, theories, guidelines and principles. The detailed architecture of the proposed expert system and the various User Interface modules are described. While there is some literature on the use of expert systems in libraries, there is no work on giving an all-inclusive search result to the decision maker. Hence, the proposed system can be a basic companion to any Librarian or a library policy maker for overall Library management and decision making.

Keywords


Artificial Intelligence, Expert Systems, Library Management, Library Services.

References