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2021, Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice, Pages - (volume: 2980)

Boosting Information Extraction through Semantic Technologies: The KIDs use case at CONSOB (04b Atto di convegno in volume)

Scafoglieri Federico, Lembo Domenico, Limosani Alessandra, Medda Francesca, Lenzerini Maurizio

In this paper we report on the initial results of a project concerning the integration of Semantic Technologies with Information Extraction (IE) techniques, jointly carried out by Sapienza University of Rome and CONSOB (Commissione Nazionale per la Società e la Borsa), the Italian public authority responsible for regulating the securities market. The main objective of such collaboration is to develop a solution to automate IE from Key Information Documents (KIDs) describing Packaged Retail Investment and Insurance-based Investments Products (PRIIPs). We discuss our approach, which is based on the idea of structuring extracted data in the form of a Knowledge Graph, and reports on two different implementations, aiming at pursuing an efficient, easy-to manage semantic IE approach.
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