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PaTrOnto, an ontology for patents and trademarks
LIGA, Davide; MARKOVICH, Réka; Amitrano, Daniele
2023JURISIN 2023
Peer reviewed
 

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Keywords :
Legal Knowledge Representation; Ontology; Patent; Trademarks; AI&Law
Abstract :
[en] In this work, we introduce PaTrOnto, a multilingual ontol- ogy designed for legal knowledge extraction in the domain of patents and trademarks. To the best of our knowledge, this is the first attempt to build an ontology which comprehensively covers the domain of patents and trademarks in a multilingual scenario. PaTrOnto is an OWL ontol- ogy with SKOS multilingual lexicalisation, designed to capture the most most important concepts which occur within legal judgments related to patents and trademarks. We release the first version of this ontology in English, Italian and Bulgarian. The relevance of this ontology is that it allows for both reasoning (being written in OWL) and knowledge ex- traction (thanks to the use of some SKOS properties which provide each ontological concept with informations such as synonyms, examples, defi- nitions, normative references). Furthermore, it has been created in close cooperation with legal experts and computer scientists.
Disciplines :
Computer science
Author, co-author :
LIGA, Davide  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
MARKOVICH, Réka ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Amitrano, Daniele
External co-authors :
yes
Language :
English
Title :
PaTrOnto, an ontology for patents and trademarks
Publication date :
2023
Event name :
JURISIN 2023
Event organizer :
JSAI-isAI 2023
Event place :
Kumamoto, Japan
Event date :
from 5 June to 6 June 2023
Audience :
International
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 23 November 2023

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