Event Extraction is a complex and interesting topic in Information Extraction that includes methods for the identification of event's type, participants, location, and date from free text or web data. The result of event extraction systems can be used in several fields, such as online monitoring systems or decision support tools. In this paper, we introduce a framework that combines several techniques (lexical, semantic, machine learning, neural networks) to extract events from Italian news articles for crime analysis purposes. Furthermore, we concentrate to represent the extracted events in a Knowledge Graph. An evaluation on crimes in the province of Modena is reported.
Online News Event Extraction for Crime Analysis / Rollo, F.; Po, L.; Bonisoli, G.. - 3194:(2022), pp. 223-230. (Intervento presentato al convegno 30th Italian Symposium on Advanced Database Systems, SEBD 2022 tenutosi a Grand Hotel Continental, ita nel 2022).
Online News Event Extraction for Crime Analysis
Rollo F.
;Po L.;Bonisoli G.
2022
Abstract
Event Extraction is a complex and interesting topic in Information Extraction that includes methods for the identification of event's type, participants, location, and date from free text or web data. The result of event extraction systems can be used in several fields, such as online monitoring systems or decision support tools. In this paper, we introduce a framework that combines several techniques (lexical, semantic, machine learning, neural networks) to extract events from Italian news articles for crime analysis purposes. Furthermore, we concentrate to represent the extracted events in a Knowledge Graph. An evaluation on crimes in the province of Modena is reported.
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