Generating a meta-DL by federating search on OAI and non-OAI servers

  • Authors:

  • Hyunki Kim;Chee-Yoong Choo;Su-Shing Chen

  • Affiliations:

  • Speech/Language Information Research Department, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea 305-700;Computer and Information Science and Engineering Department, University of Florida, Gainesville, USA 32611;CAS-MPG Partner Institute of Computational Biology, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, Shanghai, China 200031

  • Venue:
  • Journal of Intelligent Information Systems
  • Year:
  • 2010

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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").