From Textual Information Sources to Linked Data in the Agatha Project

dc.contributor.authorQuaresma, Paulo
dc.contributor.authorNogueira, Vitor Beires
dc.contributor.authorRaiyani, Kashyap
dc.contributor.authorBayot, Roy
dc.contributor.authorGonçalves, Teresa
dc.date.accessioned2023-02-24T12:05:43Z
dc.date.available2023-02-24T12:05:43Z
dc.date.issued2020-05-05
dc.description.abstractAutomatic 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.por
dc.identifier.authoremailpq@uevora.pt
dc.identifier.authoremailvbn@uevora.pt
dc.identifier.authoremailkshyp@uevora.pt
dc.identifier.authoremailrkbayot@uevora.pt
dc.identifier.authoremailtcg@uevora.pt
dc.identifier.citationQuaresma, 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. https://doi.org/10.1007/978-3-030-46714-2_5por
dc.identifier.doihttps://doi.org/10.1007/978-3-030-46714-2_5por
dc.identifier.scientificarea498por
dc.identifier.urihttp://hdl.handle.net/10174/34682
dc.language.isoporpor
dc.rightsrestrictedAccesspor
dc.titleFrom Textual Information Sources to Linked Data in the Agatha Projectpor
dc.typebookPartpor

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