scholarly journals LYNX: Towards a Legal Knowledge Graph for Multilingual Europe

2020 ◽  
Vol 37 (1) ◽  
pp. 175-178
Author(s):  
Víctor Rodríguez Doncel ◽  
Elena Montiel Ponsoda
Keyword(s):  
Information Retrieval ◽  
Knowledge Graph ◽  
Legal Knowledge ◽  
Information Discovery ◽  
Legal Compliance ◽  
Semantic Web Technologies ◽  
Legal Information ◽  
Web Technologies ◽  
Innovation Project ◽  
Cross Lingual

Lynx is an innovation project in Europe whose objective is to develop services for legal compliance. A legal knowledge graph is built over multilingual, multijurisdictional documents using semantic web technologies. A collection of services implementing natural language techniques enables better legal information retrieval, cross-lingual answering of questions and information discovery. Three use cases are discussed, as well as the overall impact of the project.  

Semantic / Fuzzy Information Retrieval System

2017 ◽  
Vol 12 (1) ◽  
pp. 37-56
Author(s):  
Mounira Chkiwa ◽  
Anis Jedidi ◽  
Faiez Gargouri
Keyword(s):  
Fuzzy Logic ◽  
Information Retrieval ◽  
Semantic Web ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Retrieval Process ◽  
Fuzzy Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Fuzzy Information Retrieval

In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.

scholarly journals Legal Knowledge Extraction for Knowledge Graph Based Question-Answering

2020 ◽  
Author(s):  
Francesco Sovrano ◽  
Monica Palmirani ◽  
Fabio Vitali
Keyword(s):  
Natural Language ◽  
Language Processing ◽  
Design Patterns ◽  
Question Answering ◽  
Knowledge Extraction ◽  
Knowledge Graph ◽  
Legal Knowledge ◽  
Legal Information ◽  
Event Time ◽  
Legal Domain

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.

Semantic/Fuzzy Information Retrieval System

2018 ◽  
pp. 1030-1050
Author(s):  
Mounira Chkiwa ◽  
Anis Jedidi ◽  
Faiez Gargouri
Keyword(s):  
Fuzzy Logic ◽  
Information Retrieval ◽  
Semantic Web ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Retrieval Process ◽  
Fuzzy Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Fuzzy Information Retrieval

In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.

Managing semantics in XML vocabularies: an experience in the legal and legislative domain

2010 ◽  
Author(s):  
Gioele Barabucci ◽  
Luca Cervone ◽  
Angelo Di Iorio ◽  
Monica Palmirani ◽  
Silvio Peroni ◽  
...  
Keyword(s):  
Semantic Information ◽  
African Countries ◽  
Semantic Web Technologies ◽  
Intended Meaning ◽  
Legal Information ◽  
Web Technologies ◽  
Legal Documents ◽  
Other World ◽  
Long Term Preservation

Akoma Ntoso is an XML vocabulary for legal and legislative documents sponsored by the United Nations, initially for African Countries and subsequently for use in other world countries. The XML documents that represent legal and legislative resources in Akoma Ntoso contain a large quantity of elements and sections with concrete semantic information about the correct description and identification of the resource itself and the legal knowledge it contains. Such information is organized in many distinct conceptual layers, allowing for the contribution of different semantic information according to competencies and role in the workflow of the contributor. This paper shows how the Akoma Ntoso standard expresses the independent conceptual layers of semantic information, and provides ontological structures on top of them. We also discuss how current Semantic Web technologies could be used on these layers to reason on the underlying legal texts. As one of the main funding principles of Akoma Ntoso is the long-term preservation of legal documents and of their intended meaning, this paper also shows and justifies some design decisions that have been made in order allow future toolmakers to access the enclosed legal information without having to rely on current technology that may be long forgotten in the future decades.

scholarly journals The linked legal data landscape: linking legal data across different countries

2021 ◽  
Author(s):  
Erwin Filtz ◽  
Sabrina Kirrane ◽  
Axel Polleres
Keyword(s):  
Information Search ◽  
Linked Data ◽  
Knowledge Graph ◽  
Legal Knowledge ◽  
The European Union ◽  
Legal Information ◽  
Eu Member States ◽  
Metadata Standards ◽  
Technical Specifications ◽  
Machine Readable

AbstractThe European Union is working towards harmonizing legislation across Europe, in order to improve cross-border interchange of legal information. This goal is supported for instance via standards such as the European Law Identifier (ELI) and the European Case Law Identifier (ECLI), which provide technical specifications for Web identifiers and suggestions for vocabularies to be used to describe metadata pertaining to legal documents in a machine readable format. Notably, these ECLI and ELI metadata standards adhere to the RDF data format which forms the basis of Linked Data, and therefore have the potential to form a basis for a pan-European legal Knowledge Graph. Unfortunately, to date said specifications have only been partially adopted by EU member states. In this paper we describe a methodology to transform the existing legal information system used in Austria to such a legal knowledge graph covering different steps from modeling national specific aspects, to population, and finally the integration of legal data from other countries through linked data. We demonstrate the usefulness of this approach by exemplifying practical use cases from legal information search, which are not possible in an automated fashion so far.

Building Integrative Enterprise Knowledge Portals with Semantic Web Technologies

2005 ◽  
pp. 146-188 ◽  
Author(s):  
Torsten Priebe
Keyword(s):  
Information Retrieval ◽  
Semantic Web ◽  
State Of The Art ◽  
Content Management ◽  
The State ◽  
The Internet ◽  
Semantic Web Technologies ◽  
Research Results ◽  
Web Technologies ◽  
Integration Approach

The goal of this chapter is to show how Semantic Web technologies can help build integrative enterprise knowledge portals. Three main areas are identified: content management and metadata, global searching, and the integration of external content and applications. For these three areas the state-of-the-art as well as current research results are discussed. In particular, a metadata-based information retrieval and a context-based port let integration approach are presented. These have been implemented in a research prototype which is introduced in the Internet session at the end of the chapter.

scholarly journals KNOWLEDGE GRAPH CONSTRUCTION FOR SUBSURFACE OBJECTS INCLUDING UNCERTAINTY AND TIME VARIATION

2021 ◽  
Vol XLVI-4/W4-2021 ◽  
pp. 131-136
Author(s):  
A. Caselli ◽  
G. Falquet ◽  
C. Métral
Keyword(s):  
Time Variation ◽  
Data Representation ◽  
Knowledge Graph ◽  
Data Provenance ◽  
Graph Models ◽  
Semantic Web Technologies ◽  
Temporal Behaviour ◽  
Web Technologies ◽  
Aggregate Information ◽  
Spatio Temporal

Abstract. In the recent years the concept of knowledge graph has emerged as a way to aggregate information from various sources without imposing too strict data modelling constraints. Several graph models have been proposed during the years, ranging from the “standard” RDF to more expressive ones, such as Neo4J and RDF-star. The adoption of knowledge graph has become established in several domains. It is for instance the case of the 3D geoinformation domain, where the adoption of semantic web technologies has led to several works in data integration and publishing. However, yet there is not a well-defined model or technique to represent 3D geoinformation including uncertainty and time variation in knowledge graphs. In this paper we propose a model to represent parameterized geometries of subsurface objects. The vocabulary of the model has been defined as an OWL ontology and it extends existing ontologies by adding classes and properties to represent the uncertainty and the spatio-temporal behaviour of a geometry, as well as additional attributes, such as the data provenance. The model has been validated on significant use cases showing different types of uncertainties on 3D subsurface objects. A possible implementation is also presented, using RDF-star for the data representation.

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