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Title: From Textual Information Sources to Linked Data in the Agatha Project
Authors: Quaresma, Paulo
Nogueira, Vitor Beires
Raiyani, Kashyap
Bayot, Roy
Gonçalves, Teresa
Issue Date: 5-May-2020
Citation: Quaresma, P., Beires Nogueira, V., Raiyani, K., Bayot, R., Gonçalves, T. (2020). From Textual Information Sources to Linked Data in the Agatha Project. In: Hofstedt, P., Abreu, S., John, U., Kuchen, H., Seipel, D. (eds) Declarative Programming and Knowledge Management. INAP WLP WFLP 2019 2019 2019. Lecture Notes in Computer Science(), vol 12057. Springer, Cham.
Abstract: Automatic reasoning about textual information is a challenging task in modern Natural Language Processing (NLP) systems. In this work we describe our proposal for representing and reasoning about Portuguese documents by means of Linked Data like ontologies and thesauri. Our approach resorts 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: bookPart
Appears in Collections:INF - Publicações - Capítulos de Livros

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