Please use this identifier to cite or link to this item:

Title: Aligning IATE Criminal Terminology to SUMO
Authors: Schmidt, Daniela
Dal Bosco, Avner
Quaresma, Paulo
Vieira, Renata
Keywords: Ontology alignment
Issue Date: Mar-2020
Publisher: Springer
Citation: SCHMIDT, Daniela, et al. Aligning IATE Criminal Terminology to SUMO. In: International Conference on Computational Processing of the Portuguese Language. Springer, Cham, 2020. p. 98-108.
Abstract: In this paper we apply an ontology matching system in the context of an information extraction project regarding criminal data. Our data comes from social network, in order to make better sense and analysis of the information provided we consider the IATE (InterActive Terminology for Europe) regarding its crime related sub-domain. The alignment of this terminology to an ontology is a further step towards enriching the semantics of the data. We evaluate a recently proposed domain top ontology matcher (based on Wordnet-SUMO previous alignment) to the task of aligning this IATE sub-domain to SUMO, a general purpose top ontology. Another aspect to explore is the use of multi-linguality in the disambiguation problem itself, as in the case of “alvo” (aim as target and not goal) which becomes more clear in the Portuguese than the English version.
Type: article
Appears in Collections:CIDEHUS - Artigos em Livros de Actas/Proceedings

Files in This Item:

File Description SizeFormat
120370010.pdf261.5 kBAdobe PDFView/OpenRestrict Access. You can Request a copy!
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois