research-article

ICIX: A Semantic Information Extraction Architecture

Authors:

Angel Luis Garrido,

Cristian MorteAuthors Info & Claims

IDEAS '21: Proceedings of the 25th International Database Engineering & Applications Symposium

Pages 75 - 83

https://doi.org/10.1145/3472163.3472174

Published: 07 September 2021 Publication History

Abstract

Public and private organizations produce and store huge amounts of documents which contain information about their domains in non-structured formats. Although from the final user’s point of view we can rely on different retrieval tools to access such data, the progressive structuring of such documents has important benefits for daily operations. While there exist many approaches to extract information in open domains, we lack tools flexible enough to adapt themselves to the particularities of different domains.

In this paper, we present the design and implementation of ICIX, an architecture to extract structured information from text documents. ICIX aims at obtaining specific information within a given domain, defined by means of an ontology which guides the extraction process. Besides, to optimize such an extraction, ICIX relies on document classification and data curation adapted to the particular domain. Our proposal has been implemented and evaluated in the specific context of managing legal documents, with promising results.

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Cited By

Bellandi VCastano SMontanelli SSiccardi S(2025)Streamlining Legal Document Management: A Knowledge-Driven Service PlatformSN Computer Science10.1007/s42979-025-03694-y6:2Online publication date: 14-Feb-2025
https://dl.acm.org/doi/10.1007/s42979-025-03694-y
Navarrete FGarrido ÁBobed CAtencia MVallecillo A(2024)Ontology-Driven Automated Reasoning About Property CrimesBusiness & Information Systems Engineering10.1007/s12599-024-00886-3Online publication date: 12-Aug-2024
https://doi.org/10.1007/s12599-024-00886-3

ICIX: A Semantic Information Extraction Architecture
1. Computing methodologies
  1. Artificial intelligence

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Published In

cover image ACM Other conferences

IDEAS '21: Proceedings of the 25th International Database Engineering & Applications Symposium

July 2021

308 pages

ISBN:9781450389914

DOI:10.1145/3472163

Editors:
Bipin C. Desai
Concordia University, Canada
,
Bipin C. Desai
Concordia University, Canada
,
Jeffrey Ullman
Stanford University, USA
,
Richard McClatchey
Univ. Of West England, U.K
,
Motomichi Toyoma
Keio University, Japan

Copyright © 2021 ACM.

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Publication History

Published: 07 September 2021

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IDEAS 2021

IDEAS 2021: 25th International Database Engineering & Applications Symposium

July 14 - 16, 2021

QC, Montreal, Canada

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Overall Acceptance Rate 74 of 210 submissions, 35%

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Cited By

Bellandi VCastano SMontanelli SSiccardi S(2025)Streamlining Legal Document Management: A Knowledge-Driven Service PlatformSN Computer Science10.1007/s42979-025-03694-y6:2Online publication date: 14-Feb-2025
https://dl.acm.org/doi/10.1007/s42979-025-03694-y
Navarrete FGarrido ÁBobed CAtencia MVallecillo A(2024)Ontology-Driven Automated Reasoning About Property CrimesBusiness & Information Systems Engineering10.1007/s12599-024-00886-3Online publication date: 12-Aug-2024
https://doi.org/10.1007/s12599-024-00886-3

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