Special domain data mining through DBpedia on the example of Biology

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194643" target="_blank" >RIV/00216208:11320/13:10194643 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Special domain data mining through DBpedia on the example of Biology
Original language description
Wikipedia is not only a large encyclopedia, but lately also a source of linguistic data for various applications. Individual language versions allow to get the parallel data in multiple languages. Inclusion of Wikipedia articles into categories can be used to filter the language data according to a domain. In our project, we needed a large number of parallel data for training systems of machine translation in the field of biomedicine. One of the sources was Wikipedia. To select the data from the given domain we used the results of the DBpedia project, which extracts structured information from the Wikipedia articles and makes them available to users in RDF format. In this paper we describe the process of data extraction and the problems that we had todeal with, because the open source project like Wikipedia, to which anyone can contribute, is not very reliable concerning consistency.
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ITAT 2013: Information Technologies - Applications and Theory (Workshops, Posters, and Tutorials)
ISBN
978-1-4909-5208-6
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
2-4
Publisher name
CreateSpace Independent Publishing Platform
Place of publication
Donovaly, Slovakia
Event location
Donovaly, Slovakia
Event date
Sep 11, 2013
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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