Entity Linking and Lexico-Semantic Patterns for Ontology Learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00341966" target="_blank" >RIV/68407700:21230/20:00341966 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-49461-2_9" target="_blank" >https://doi.org/10.1007/978-3-030-49461-2_9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-49461-2_9" target="_blank" >10.1007/978-3-030-49461-2_9</a>
Alternative languages
Result language
angličtina
Original language name
Entity Linking and Lexico-Semantic Patterns for Ontology Learning
Original language description
Ontology learning from a text written in natural language is a well-studied domain. However, the applicability of techniques for ontology learning from natural language texts is strongly dependent on the characteristics of the text corpus and the language used. In this paper, we present our work so far in entity linking and enhancing the ontology with extracted relations between concepts. We discuss the benefits of adequately designed lexico-semantic patterns in ontology learning. We propose a preliminary set of lexico-semantic patterns designed for the Czech language to learn new relations between concepts in the related domain ontology in a semi-supervised approach. We utilize data from the urban planning and development domain to evaluate the introduced technique. As a partial prototypical implementation of the stack, we present Annotace, a text annotation service that provides links between the ontology model and the textual documents in Czech.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/CK01000204" target="_blank" >CK01000204: Improving effectiveness of aircraft maintenance planning and execution</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The Semantic Web 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31–June 4, 2020, Proceedings
ISBN
978-3-030-49460-5
ISSN
0302-9743
e-ISSN
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Number of pages
16
Pages from-to
138-153
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Crete
Event date
Jun 2, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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