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Journal Article Generating a Meta-DL by Federating Search on OAI and Non-OAI Servers
Cited 4 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Hyunki Kim, Chee-Yoong Choo, Su-Shing Chen
Issue Date
2010-04
Citation
Journal of Intelligent Information Systems, v.34, no.2, pp.177-191
ISSN
0925-9902
Publisher
Springer
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1007/s10844-009-0084-9
Abstract
Federation of intelligent systems is important to practice in applications. More recently, Digital Library (DL) interoperability has played an important role towards providing more visibility and accessibility to the broad range of rich digital resources collected by digital libraries and web-based services worldwide. In this paper, we describe how DL interoperability can be applied to mediating federated intelligent systems. Exemplified by the Digital Library for Life Science Learners (DLLSL) federated search project and the Open Archives Initiatives Protocol for Metadata Harvesting (OAI-PMH), we develop the design of an integrated DL system using harvesting methods towards DL interoperability, and the proposal of integrating federated search of non-OAI and harvesting of OAI repositories, which provides an even broader accessibility to intelligent systems with digital resources. This Meta-DL system helps researchers to locate, explore and use the resources in the expanding body of scholarly information by a simple middleware, such as Emerge (see "Section 2"). © Springer Science + Business Media, LLC 2009.
KSP Keywords
Digital Library, Digital Resources, Federated search, Harvesting methods, Intelligent systems, Metadata Harvesting, OAI-PMH, Scholarly information, Web-based services, life science