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Data mining service for OAIster digital library

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dc.title Data mining service for OAIster digital library en
dc.contributor.author Doležel, Petr
dc.contributor.author Dulík, Tomáš
dc.relation.ispartof MCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems; Proceedings of e-Learning 2008
dc.identifier.isbn 978-972-8924-58-4
dc.date.issued 2008
utb.relation.volume 2
dc.citation.spage 61
dc.citation.epage 65
dc.event.title e-Learning 2008, MCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems
dc.event.location Amsterdam
utb.event.state-en Netherlands
utb.event.state-cs Nizozemsko
dc.event.sdate 2008-07-22
dc.event.edate 2008-07-25
dc.type conferenceObject
dc.language.iso en
dc.subject Digital library en
dc.subject OAIster en
dc.subject ObjectSpot en
dc.subject RSS en
dc.subject SOAP en
dc.subject SQI en
dc.description.abstract OAIster is a digital library with more than 10 million resources - one of the largest repositories in the world. It supports two search methods: ordinary web-based search and the SRU search-retrieve protocol which returns metadata in BibClass format. Unfortunately with SRU, the OAIster database search is quite time-consuming and only single keyword queries are supported. The goal of this paper is to present new web service for searching in OAIster repository. The service is based on the SQI web service and allows multi keyword search. It is currently implemented in the ObjectSpot search engine but it might be used in any other service which supports SQI and RSS 2.0 data formats. The results and comparison with SRU client are evaluated in this paper. © 2008 IADIS. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004934
utb.identifier.scopus 2-s2.0-58449106878
utb.source d-scopus
dc.date.accessioned 2015-06-04T12:56:07Z
dc.date.available 2015-06-04T12:56:07Z
utb.contributor.internalauthor Doležel, Petr
utb.contributor.internalauthor Dulík, Tomáš
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