Abstract
This paper reviews work undertaken to better understand the performance of physical and virtual union catalogues for the purposes of resource discovery and retrieval within the JISC Information Environment, as under the auspices of the CC-interop project. System-level variations in the ability of systems to process search queries were noted and the impact of disparate cataloguing and indexing practices on recall and precision were also investigated. Recommendations for improving interoperability (including semantic interoperability) are proposed.
Original language | English |
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Publication status | Published - 11 Nov 2004 |
Event | Hyper Clumps, Mini Clumps and National Catalogues: Resource Discovery for the 21st Century - British Library Conference Centre, London, United Kingdom Duration: 11 Nov 2004 → … http://www.ukoln.ac.uk/events/british-library/ |
Conference
Conference | Hyper Clumps, Mini Clumps and National Catalogues: Resource Discovery for the 21st Century |
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Country/Territory | United Kingdom |
City | London |
Period | 11/11/04 → … |
Other | The JISC funded CC-interop Project completed its work during 2004 and now is holding an event to disseminate the key findings of the project. The Project built on the work of the successful eLib Phase 3 "Clumps" projects and investigated three broad areas to inform about interoperability between physical and distributed union catalogues. Find out about: how distributed and large physical union catalogues can interact, including the building of a distributed catalogue capable of accepting remote Z39.50 searches from COPAC; how to identify collections in the resource landscape and about current and future indexing & cataloguing practices; how users behave when searching large union catalogues, both physical and distributed. This one-day conference will take place at the British Library Conference Centre on Thursday 11th November. |
Internet address |
Keywords
- resource discovery
- information retrieval
- distributed systems
- system interoperability
- metadata aggregation