Legal Knowledge Extraction for Knowledge Graph Based Question-Answering
Additional information
Authors
Sovrano F.,
Palmirani M.,
Vitali F.
Type
Article in conference proceedings
Year
2020
Language
English
Abstract
This paper presents the Open Knowledge Extraction (OKE) tools combined with natural language analysis of the sentence in order to enrich the semantic of the legal knowledge extracted from legal text. In particular the use case is on international private law with specific regard to the Rome I Regulation EC 593/2008, Rome II Regulation EC 864/2007, and Brussels I bis Regulation EU 1215/2012. A Knowledge Graph (KG) is built using OKE and Natural Language Processing (NLP) methods jointly with the main ontology design patterns defined for the legal domain (e.g., event, time, role, agent, right, obligations, jurisdiction). Using critical questions, underlined by legal experts in the domain, we have built a question answering tool capable to support the information retrieval and to answer to these queries. The system should help the legal expert to retrieve the relevant legal information connected with topics, concepts, entities, normative references in order to integrate his/her searching activities.
Conference proceedings
JURIX'2020
Meeting name
JURIX 2020: The Thirty-third Annual Conferenc
Meeting place
Brno, Czech Republic
Meeting date
December 9–11, 2020
ISSN
0922-6389, 1879-8314
Diffusion
License
License undefined
Visibility
Private
