Reasoning with multi-version ontologies: evaluation

Deliverable D3.5.2(WP3.5)In this document, we present an evaluation of the Multi-version Ontology Reasoning system MORE. The framework of MORE is developed based on a temporal logic approach. We take multiple versions of the legal ontology OPJK, one of the case studies in the SEKT project, as the test data set to test the prototype of the multi-version ontology reasoning system MORE, by which we investigate and evaluate the applicability of the system

D10.2.1 Legal scenario : case study-intelligent integrated decision support for legal professionals

WP10 Case Study: Intelligent integrated decision support for legal professionals. Report PUThe aim of this document is to offer an overview of the work done during the first year of the research by the UAB legal team and the iSOCO engineers. The cooperation between the two teams has producedthe following results: (i) a reliable description of the Spanish and judicial contexts, stemming from 2004 surveys and field research at the court settings; (ii) a reliable description of the content of Spanish Legal databases; (iii) a preliminary textual analysis onlegal discourse findings; (iv) definition and epistemological bases for Ontologies of Professional Legal Knowledge(OPLK); (v) knowledge acquisition and ontology building of Iuriservice II(second prototype of an iFAQ assistant for judges attheir first appointment); (vi) use cases and software architecturedesign for the legal case study prototype, using NLP techniques, ontology models and ontology merging

Legal crowdsourcing and relational law : what the semantic web can do for legal education

Crowdsourcing and Relational Law are interrelated concepts that can be successfully applied to the legal domain and, more specifically, to the field of legal education. 'Crowdsourcing' means 'participation of people (crowds)' and refers theoretically to the aggregated production of a common knowledge in a global data space. 'Relational law' refers to the regulatory link between Web 2.0 and 3.0, based on trust and dialogue, which emerges from the intertwining of top-down existing legal systems and bottom-up participation (the Web of People). Legal education today has a major role to play in the broad space opened up in terms of future potential of the Semantic Web. The following paper places a lens on the educational value of crowdsourcing and the relational approach to governance and law

The process of constructing ontological meaning based on criminal law verbs

This study intends to account for the process involved in the construction of the conceptual meaning of verbs (#EVENTS) directly related to legal aspects of terrorism and organized crime based on the evidence provided by the Globalcrimeterm Corpus and the consistent application of specific criteria for term extraction. The selected 49 concepts have eventually been integrated in the Core Ontology of FunGramKB (Functional Grammar Knowledge Base), a knowledge base which is founded on the principles of deep semantics and is also aimed at the computational development of the Lexical Constructional Model (www.fungramkb.com). To achieve this purpose, key phases of the COHERENT methodology (Periñán Pascual & Mairal Usón 2011) are followed, particularly those which involve the modelling, subsumption and hierarchisation of the aforementioned verbal concepts. The final outcome of this research shows that most of the apparently specialised conceptual units should eventually be included in the Core Ontology instead of the specific Globalcrimeterm Subontology, due to the fact that the semantic content of their corresponding lexical units can be found in widely used learner`s dictionaries and, consequently, this conceptual information is not only shared by the experts in the field but also by the layperson and the average speaker of the language

A Systematic Literature Review of Legal Ontologies

This article analyzes the publications concerning the topic of legal ontology as supporting processes and activities of legal nature. A systematic review of the theme and the identification of the main existing studies are carried out. This review is developed throughout three tasks: contextualization of the theme from a legal perspective; systematic literature search; analysis and synthesis of the information obtained. From these studies the present work serves as a basis for the understanding and discussion of the possibilities of applying legal ontologies to support the activities of the legislative process in the parliamentary scope, and also the judicial process. Furthermore, it is intended in the future the definition of a legal domain-specific language. This article also presents the mapping of the publications of this theme with the existing studies and presents the respective critical and comparative analysis

UFO-L: UMA ONTOLOGIA NÚCLEO DE ASPECTOS JURÍDICOS CONSTRUÍDA SOB A PERSPECTIVA DAS RELAÇÕES JURÍDICAS

Nas últimas décadas, o Direito tem se voltado para a Computação em busca de soluções para a representação do domínio jurídico, para o armazenamento de grandes volumes de informação e para a recuperação dessas informações com o intuito de gerar conhecimento para apoio a tomadas de decisões. Dentre as diversas soluções propostas para a representação do domínio jurídico, destacam-se as ontologias jurídicas, que propõem a representação de uma conceitualização compartilhada de conceitos jurídicos e suas relações. As ontologias jurídicas, que representam conceitos jurídicos genéricos passíveis de serem usados e reutilizados na construção de outras ontologias ou em linguagens de modelagem do domínio jurídico, são denominadas Legal Core Ontologies (LCOs) ou Ontologia Núcleo Jurídica. A abordagem da maioria das LCOs é a da representação do Direito focado nas normas jurídicas. No entanto, nesta pesquisa, optou-se por uma abordagem focada nas relações jurídicas para a investigação e para a construção de uma ontologia núcleo jurídica. Embora ambas as abordagens tragam benefícios, a vantagem dessa última é a possibilidade da explicitação de outros conceitos e relacionamentos que não ficam evidenciados na primeira. Em particular, o entendimento da relação jurídica como relação entre sujeitos que desempenham papéis jurídicos, com posições jurídicas inerentes a estes papéis, as quais estão dispostas de tal forma a influenciar os demais sujeitos/papéis jurídicos envolvidos. Neste contexto, o problema a ser atacado está na seara da lacuna entre Computação e Direito, ou seja, no problema de modelagem conceitual aplicada ao recorte da realidade jurídica e como ela é representada. A base teórica desta tese é composta por duas teorias: a Teoria dos Direitos Constitucionais de Robert Alexy e a Teoria dos Fundamentos Ontológicos para Modelos Conceituais Estruturais de Giancarlo Guizzardi. O resultado dessa investigação é um artefato denominado UFO-L e seu catálogo de padrões de modelagem, aplicado em análises ontológicas, na modelagem de domínios jurídicos e na construção de linguagens visuais de domínio jurídico

Analyzing the Usefulness of ThingFO as a Foundational Ontology for Sciences

This work specifies and defines all terms, properties and relationships of ThingFO –which stands for Thing Foundational Ontology. ThingFO is an ontology for particular and universal Things and Assertions placed at the foundational level in the context of a four-layered ontological architecture called FCDOntoArch. This is a four-layered ontological architecture, which considers foundational, core, domain and instance levels. In turn, the domain level is split down into two sub-levels, namely: top-domain and low-domain. Ontologies at the same level can be related to each other, except for the foundational level where only the ThingFO ontology is. Additionally, ontologies' terms, properties and relationships at lower levels can be semantically enriched by ontologies' terms properties and relationships from the higher levels. Since ThingFO is at the highest level, ontologies at lower levels benefit from reusing and extending its concepts. To illustrate the usefulness of ThingFO, we primarily analyze enriched terms of a couple of ontologies at the core level such as ProcessCO and SituationCO, among others, in which their concepts are cross-cutting concerns for many domain terminologies from diverse sciences.Sociedad Argentina de Informática e Investigación Operativ

Automated analysis of product related data generated from PLM ontology

In recent years, ontology for the Product Lifecycle Management domain has raised a lot of interest in research communities, both academic and industrial. It has emerged as a convenient method for supporting the concept of closed lifecycle information loop, which is one of the most important issues of PLM. By modeling relevant aspects collected from all lifecycle stages of a product, within one ontology, a common knowledge structure is created accessible to all actors. Assuming that appropriate mechanisms for updating ontology (or rather, instances that populate it) are provided, ontology becomes a base layer for a knowledge management platform. Useful experience and information from all productsâ life-cycle stages, can influence designerâs decisions and business strategies. The industrial research community has recognized this added value of ontological implementation, and there is an increasing number of developed ontologies for this purpose. Application of ontology contributes to time efficiency by reducing the time required to retrieve information. Furthermore, it allows for the enhancement of design decisions which are supported through additional information at the appropriate moment. Finally, ontology gives an overall perspective on a product's lifecycle, allowing from-the-top optimization. Different domains modeled in ontology, and software platforms that use them as a base layer, become interoperable and convenient to merge. The purpose of ontology as it is today is not to store data, for the most part because there are more efficient data base systems to handle large data amounts. Still, the domain modeled within ontology is composed of structured and un-structured data sets, and ontology itself can give us a top view on relations and dependences between these data sets. In this perspective, it holds a strong similarity to a relational data base, if relations in the data base where defined so that they depicted the real world in the most precise possible manner. In large companies today, handling a growing amount of data generated every day is becoming an increasingly relevant problem. Managing and storing them, although challenging, is still feasible, but holding data without understanding it carries little added value. In an effort to exploit useful information contained in unstructured data sources, a number of decision support systems and enterprise resource planning systems have been developed. They can be very diverse in functionality and efficiency but the one thing that they all have in common is that the user has to be the one making the initiative and defining the queries. This means that the user has to know which information he is looking for, or hoping to extract. As a consequence, the number of relevant correlations and dependencies between different factors of real life captured in the data are left unnoticed, simply because they were not assumed. In the PLM domain, this is particularly present since it involves a number of actors and most of them are interacting only with a small subset of domain concepts. Data mining as a discipline, gives a number of tools for resolving this issue. All of the algorithms are designed to detect correlations, underlying patterns or functions that generated the data. The problem of data mining techniques is that they are still performed mostly manually. Although deterministic steps of data mining procedures can be supported by existing software tools, the others remain an obsta