Information extraction (IE) refers to the task of turning text documents into a structured form, in order to make the information contained therein automatically processable. Ontology Mediated Information Extraction (OMIE) is a new paradigm for IE that seeks to exploit the semantic knowledge expressed in ontologies to improve query answering over unstructured data (properly raw text). In this paper we present Mastro System-T, an OMIE tool born from a joint collaboration between the University of Rome “La Sapienza” and IBM Research Almaden and its first application in a financial domain, namely to facilitate the access to and the sharing of data extracted from the EDGAR system.

Ontology Mediated Information Extraction in Financial Domain with Mastro System-T / Lembo, Domenico; Li, Yunyao; Popa, Lucian; Scafoglieri, Federico. - (2020). (Intervento presentato al convegno 6th International Workshop on Data Science for Macro-Modeling (DSMM) tenutosi a Portland, OR; USA) [10.1145/3401832.3402681].

Ontology Mediated Information Extraction in Financial Domain with Mastro System-T

Lembo, Domenico;Scafoglieri Federico
2020

Abstract

Information extraction (IE) refers to the task of turning text documents into a structured form, in order to make the information contained therein automatically processable. Ontology Mediated Information Extraction (OMIE) is a new paradigm for IE that seeks to exploit the semantic knowledge expressed in ontologies to improve query answering over unstructured data (properly raw text). In this paper we present Mastro System-T, an OMIE tool born from a joint collaboration between the University of Rome “La Sapienza” and IBM Research Almaden and its first application in a financial domain, namely to facilitate the access to and the sharing of data extracted from the EDGAR system.
2020
6th International Workshop on Data Science for Macro-Modeling (DSMM)
Information Extraction; ontologies; Description Logics;
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Ontology Mediated Information Extraction in Financial Domain with Mastro System-T / Lembo, Domenico; Li, Yunyao; Popa, Lucian; Scafoglieri, Federico. - (2020). (Intervento presentato al convegno 6th International Workshop on Data Science for Macro-Modeling (DSMM) tenutosi a Portland, OR; USA) [10.1145/3401832.3402681].
File allegati a questo prodotto
File Dimensione Formato  
Lembo_Onotology_2020.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 782.18 kB
Formato Adobe PDF
782.18 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1476978
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? ND
social impact