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Title:
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DATA MINING SERVICE FOR OAISTER DIGITAL LIBRARY |
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Author(s):
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Petr Doleel , Tomá Dulík |
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ISBN:
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978-972-8924-58-4 |
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Editors:
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Miguel Baptista Nunes and Maggie McPherson (series editors: Piet Kommers, Pedro Isaías and Nian-Shing Chen) |
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Year:
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2008 |
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Edition:
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V II, 2 |
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Keywords:
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SQI, RSS, SOAP, digital library, OAIster, ObjectSpot |
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Type:
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Short Paper |
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First Page:
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61 |
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Last Page:
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65 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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. |
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