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Title: From Textual Information Sources to Linked Data in the Agatha Project
Authors: Quaresma, Paulo
Nogueira, Vitor
Raiyani, Kashyap
Bayot, Roy
Gonçalves, Teresa
Issue Date: 2019
Citation: Quaresma, P., Nogueira, V. B., Raiyani, K., Bayot, R., & Gonçalves, T. (2019, September 3). From Textual Information Sources to Linked Data in the Agatha Project. DECLARE 19 Proceedings.
Abstract: Automatic reasoning about textual information is a challenging task in modern Natural Language Processing (NLP) systems. In this work we de- scribe our proposal for representing and reasoning about Portuguese documents by means of Linked Data like ontologies and thesauri. Our approach re- sorts to a specialized pipeline of natural language processing (part-of-speech tagger, named entity recognition, semantic role labeling) to populate an ontology for the domain of criminal investigations. The provided architecture and ontology are language independent. Although some of the NLP modules are language dependent, they can be built using adequate AI methodologies.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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