research-article

Integration of legal datasets: from meta-model to implementation

Authors:

Gioele Barabucci,

Angelo Di Iorio,

Francesco Poggi,

Fabio VitaliAuthors Info & Claims

IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services

Pages 585 - 594

https://doi.org/10.1145/2539150.2539180

Published: 02 December 2013 Publication History

Abstract

This paper presents ALLOT, an ontology based on Akoma Ntoso to describe entities referenced in legal documents. The focus is on the use of ALLOT to bridge heterogeneous knowledge bases. We present some experiments in integrating heterogeneous legal datasets through ALLOT. We also discuss the lessons learned in the development of this ontology, lessons that can highlight some issues with the current landscape of legal formats and data.

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Cited By

Ciancarini PPoggi FRusso D(2016)Big Data Quality: A Roadmap for Open Data2016 IEEE Second International Conference on Big Data Computing Service and Applications (BigDataService)10.1109/BigDataService.2016.37(210-215)Online publication date: Mar-2016
https://doi.org/10.1109/BigDataService.2016.37
Peroni SPeroni S(2014)The Digital Publishing RevolutionSemantic Web Technologies and Legal Scholarly Publishing10.1007/978-3-319-04777-5_2(7-43)Online publication date: 21-Jun-2014
https://doi.org/10.1007/978-3-319-04777-5_2

Index Terms

Integration of legal datasets: from meta-model to implementation
1. Information systems
  1. Data management systems
    1. Database management system engines
      1. Parallel and distributed DBMSs
  2. Information retrieval
    1. Information retrieval query processing

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cover image ACM Other conferences

IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services

December 2013

753 pages

ISBN:9781450321136

DOI:10.1145/2539150

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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@WAS: International Organization of Information Integration and Web-based Applications and Services

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 December 2013

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IIWAS '13

IIWAS '13: The 15th International Conference on Information Integration and Web-based Applications & Services

December 2 - 4, 2013

Vienna, Austria

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Cited By

Ciancarini PPoggi FRusso D(2016)Big Data Quality: A Roadmap for Open Data2016 IEEE Second International Conference on Big Data Computing Service and Applications (BigDataService)10.1109/BigDataService.2016.37(210-215)Online publication date: Mar-2016
https://doi.org/10.1109/BigDataService.2016.37
Peroni SPeroni S(2014)The Digital Publishing RevolutionSemantic Web Technologies and Legal Scholarly Publishing10.1007/978-3-319-04777-5_2(7-43)Online publication date: 21-Jun-2014
https://doi.org/10.1007/978-3-319-04777-5_2

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