Network information resources management system based on knowledge mining

doi:10.1108/14684520310471743

Login

Welcome:
Guest

Search for:

Browse:

Resources:

Online Information Review

ISSN: 1468-4527

Online from: 1977

Subject Area: Library and Information Studies

Content: Latest Issue | Latest Issue RSS | Previous Issues

Options: To add Favourites and Table of Contents Alerts please take a Emerald profile

Network information resources management system based on knowledge mining

Document Information:
Title:	Network information resources management system based on knowledge mining
Author(s):	Chengyu Zhang, (Associate Professor and Vice Director of the System Division, at Tsinghua University Library, Beijing, People’s Republic of China), Ping Wang, (Assistant Librarian of the System Division, at Tsinghua University Library, Beijing, People’s Republic of China), Yi Zhao, (graduate student, at Tsinghua University Library, Beijing, People’s Republic of China), Qiang Lai, (graduate student, at Tsinghua University Library, Beijing, People’s Republic of China), Li Kong, (graduate student, at Tsinghua University Library, Beijing, People’s Republic of China)
Citation:	Chengyu Zhang, Ping Wang, Yi Zhao, Qiang Lai, Li Kong, (2003) "Network information resources management system based on knowledge mining", Online Information Review, Vol. 27 Iss: 2, pp.129 - 135
Keywords:	China, Content analysis, Information management, Information resources management, Mapping, Networks
Article type:	Technical paper
DOI:	10.1108/14684520310471743 (Permanent URL)
Publisher:	MCB UP Ltd
Abstract:	This article describes the analysis, design and implementation of the network information resources management system (NIRMS), which uses distributed modes of content management to collect information resources on the Internet for Chinese patrons. The first two sections describe the architecture and framework of the NIRMS and the network resources management metadata (NRMM) schema. Then the modules for resource inspection and evaluation, knowledge mining and users’ information feedback are discussed.