Data Extraction Using NLP Techniques and Its Transformation to Linked Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10289386" target="_blank" >RIV/00216208:11320/14:10289386 - 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
Data Extraction Using NLP Techniques and Its Transformation to Linked Data
Original language description
We present a system that extracts a knowledge base from raw unstructured texts that is designed as a set of entities and their relations and represented in an ontological framework. The extraction pipeline processes input texts by linguistically-aware tools and extracts entities and relations from their syntactic representation. Consequently, the extracted data is represented according to the Linked Data principles. The system is designed both domain and language independent and provides users with datafor more intelligent search than full-text search. We present our first case study on processing Czech legal texts.
Czech name
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Czech description
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Project
<a href="/en/project/TA02010182" target="_blank" >TA02010182: Intelligent Library - INTLIB</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
13th Mexican International Conference on Artificial Intelligence, MICAI 2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part I
ISBN
978-3-319-13646-2
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
113-124
Publisher name
Springer International Publishing
Place of publication
Switzerland
Event location
Tuxtla Gutiérrez, Chiapas, Mexico
Event date
Nov 16, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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