A Semi-automated Ontology Construction for Legal Question Answering

Biralatei J. Fawei (Corresponding Author), Jeff Z Pan, Martin Kollingbaum, Adam Z Wyner

Research output: Contribution to journalArticle

Abstract

The internet and the development of the semantic web have created the opportunity to provide structured legal data on the web. However, most legal information is in text. It is difficult to automatically determine the right natural language answer about the law to a given natural language question. One approach is to develop systems of legal ontologies and rules. Our example ontology represents semantic information about USA criminal law and procedure as well as the applicable legal rules. The purpose of the ontology is to provide reasoning support to a legal question answering tool that determines entailment between a pair of texts, one known as the background information (Bg) and the other question statement (Q), so whether Bg entails Q based on the application of the legal rules. The key contribution of this paper is the methodology and the semi-automated legal ontology generation tool, a clear and well-structured methodology that serves to develop such criminal law ontologies and rules (CLOR).

Original languageEnglish
JournalNew Generation Computing
Early online date6 Sep 2019
DOIs
Publication statusE-pub ahead of print - 6 Sep 2019

Fingerprint

Question Answering
Ontology
Natural Language
Methodology
Semantic Web
Reasoning
Semantics
Internet

Keywords

  • ontology
  • legal rules
  • bar examination

Cite this

A Semi-automated Ontology Construction for Legal Question Answering. / Fawei, Biralatei J. (Corresponding Author); Pan, Jeff Z; Kollingbaum, Martin; Wyner, Adam Z.

In: New Generation Computing, 06.09.2019.

Research output: Contribution to journalArticle

@article{642419645af9406a829e07355459a32a,
title = "A Semi-automated Ontology Construction for Legal Question Answering",
abstract = "The internet and the development of the semantic web have created the opportunity to provide structured legal data on the web. However, most legal information is in text. It is difficult to automatically determine the right natural language answer about the law to a given natural language question. One approach is to develop systems of legal ontologies and rules. Our example ontology represents semantic information about USA criminal law and procedure as well as the applicable legal rules. The purpose of the ontology is to provide reasoning support to a legal question answering tool that determines entailment between a pair of texts, one known as the background information (Bg) and the other question statement (Q), so whether Bg entails Q based on the application of the legal rules. The key contribution of this paper is the methodology and the semi-automated legal ontology generation tool, a clear and well-structured methodology that serves to develop such criminal law ontologies and rules (CLOR).",
keywords = "ontology, legal rules, bar examination",
author = "Fawei, {Biralatei J.} and Pan, {Jeff Z} and Martin Kollingbaum and Wyner, {Adam Z}",
note = "Open Access via Springer Compact Agreement.",
year = "2019",
month = "9",
day = "6",
doi = "10.1007/s00354-019-00070-2",
language = "English",
journal = "New Generation Computing",
issn = "0288-3635",
publisher = "Springer Japan",

}

TY - JOUR

T1 - A Semi-automated Ontology Construction for Legal Question Answering

AU - Fawei, Biralatei J.

AU - Pan, Jeff Z

AU - Kollingbaum, Martin

AU - Wyner, Adam Z

N1 - Open Access via Springer Compact Agreement.

PY - 2019/9/6

Y1 - 2019/9/6

N2 - The internet and the development of the semantic web have created the opportunity to provide structured legal data on the web. However, most legal information is in text. It is difficult to automatically determine the right natural language answer about the law to a given natural language question. One approach is to develop systems of legal ontologies and rules. Our example ontology represents semantic information about USA criminal law and procedure as well as the applicable legal rules. The purpose of the ontology is to provide reasoning support to a legal question answering tool that determines entailment between a pair of texts, one known as the background information (Bg) and the other question statement (Q), so whether Bg entails Q based on the application of the legal rules. The key contribution of this paper is the methodology and the semi-automated legal ontology generation tool, a clear and well-structured methodology that serves to develop such criminal law ontologies and rules (CLOR).

AB - The internet and the development of the semantic web have created the opportunity to provide structured legal data on the web. However, most legal information is in text. It is difficult to automatically determine the right natural language answer about the law to a given natural language question. One approach is to develop systems of legal ontologies and rules. Our example ontology represents semantic information about USA criminal law and procedure as well as the applicable legal rules. The purpose of the ontology is to provide reasoning support to a legal question answering tool that determines entailment between a pair of texts, one known as the background information (Bg) and the other question statement (Q), so whether Bg entails Q based on the application of the legal rules. The key contribution of this paper is the methodology and the semi-automated legal ontology generation tool, a clear and well-structured methodology that serves to develop such criminal law ontologies and rules (CLOR).

KW - ontology

KW - legal rules

KW - bar examination

UR - http://www.mendeley.com/research/semiautomated-ontology-construction-legal-question-answering

U2 - 10.1007/s00354-019-00070-2

DO - 10.1007/s00354-019-00070-2

M3 - Article

JO - New Generation Computing

JF - New Generation Computing

SN - 0288-3635

ER -