Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 4: EECSI 2017

Recommendation System on Knowledge Management System via OAI-PMH

Nyoman Karna (Sekolah Teknik Elektro dan Informatika Institut Teknologi Bandung)
Iping Supriana (Sekolah Teknik Elektro dan Informatika Institut Teknologi Bandung)
Nur Maulidevi (Sekolah Teknik Elektro dan Informatika Institut Teknologi Bandung)



Article Info

Publish Date
01 Nov 2017

Abstract

Knowledge Management System (KMS) might be a transformation from Library Management System (LMS). This transformation is possible when we add several knowledge processes from KMS not available in LMS. When a KMS is a transformation from a LMS, functionalities derived from librarian system will be also available in KMS. One of this functionality is recommendation system, where patron may receive related and recommended reading, usually based on subject similarity between knowledge documents. However, recommendation is delivered from system directly to patron. There is no recommendation from one system directly to another. This research proposes a communication model to provide recommendation from one KMS to another using LMS interoperability language, OAI-PMH. Although there is no real implementation, authors  hope  that  this  model  may  become  a basic reference for a better one. The novelty of this research is how to accommodate recommendation system between KMSs if the interaction is via knowledge sharing protocol, which in this research is OAI-PMH.

Copyrights © 2017






Journal Info

Abbrev

EECSI

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, ...