A knowledge-centered framework for exploration and retrieval of legal documents

作者：

Highlights：

• The paper presents the knowledge-based CRIKE (CRIme Knowledge Extraction) framework.

• CRIKE relies on a reference legal ontology called LATO (Legal Abstract Term Ontology).

• The LATO ontology is conceived to support modeling of abstract, open-textured legal concepts.

• CRIKE allows to progressively improve the automatic recognition of new terminology useful for document exploration and retrieval.

• CRIKE aims at limiting he involvement of legal domain experts in manual annotation tasks as much as possible.

摘要

•The paper presents the knowledge-based CRIKE (CRIme Knowledge Extraction) framework.•CRIKE relies on a reference legal ontology called LATO (Legal Abstract Term Ontology).•The LATO ontology is conceived to support modeling of abstract, open-textured legal concepts.•CRIKE allows to progressively improve the automatic recognition of new terminology useful for document exploration and retrieval.•CRIKE aims at limiting he involvement of legal domain experts in manual annotation tasks as much as possible.

论文关键词：Legal knowledge model,Legal knowledge extraction,Legal document retrieval and exploration

论文评审过程：Received 30 October 2020, Revised 13 April 2021, Accepted 10 June 2021, Available online 7 July 2021, Version of Record 9 February 2022.

论文官网地址：https://doi.org/10.1016/j.is.2021.101842