Special domain data mining through DBpedia on the example of Biology

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Special domain data mining through DBpedia on the example of Biology

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Special domain data mining through DBpedia on the example of Biology

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

3

Strana od-do

2-4

Název nakladatele

CreateSpace Independent Publishing Platform

Místo vydání

Donovaly, Slovakia

Místo konání akce

Donovaly, Slovakia

Datum konání akce

11. 9. 2013

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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