From Textual Information Sources to Linked Data in the Agatha Project

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 spe...

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Published in:arXiv.org 2019-09
Main Authors: Quaresma, Paulo, Nogueira, Vitor Beires, Kashyap Raiyani, Bayot, Roy, Gonçalves, Teresa
Format: Article
Language:English
Subjects:
Crime
Information sources
Linked Data
Natural language processing
Ontology
Reasoning
Speech recognition
Thesauri
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creator Quaresma, Paulo
Nogueira, Vitor Beires
Kashyap Raiyani
Bayot, Roy
Gonçalves, Teresa
description 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.
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subjects Crime
Information sources
Linked Data
Natural language processing
Ontology
Reasoning
Speech recognition
Thesauri
title From Textual Information Sources to Linked Data in the Agatha Project
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