Data mining service for OAIster digital library

Doležel, Petr; Dulík, Tomáš

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