A Comparative Study to Determine a Suitable Legal Knowledge Representation Format

2018 ◽  
Author(s):  
Avadhut Shelar ◽  
Minal Moharir
Keyword(s):  
Knowledge Representation ◽  
Comparative Study ◽  
Legal Knowledge ◽  
Legal Knowledge Representation

scholarly journals Cause of Action and the Right to Know. A Formal Conceptual Analysis of the Texas Senate Bill 25 Case

2021 ◽  
Author(s):  
Réka Markovich ◽  
Olivier Roy
Keyword(s):  
Knowledge Representation ◽  
Conceptual Analysis ◽  
Logical Analysis ◽  
Legal Rights ◽  
Legal Knowledge ◽  
Right To Know ◽  
The Right To Know ◽  
Senate Bill ◽  
Legal Knowledge Representation ◽  
The Right

Bill 25 proposed by the Texas Senate in 2017 was created to eliminate the so-called ‘wrongful birth’ cause of action. This plan raised some questions about the ‘right to know’ and indirectly about rights in general. We provide a preliminary logical analysis investigating these questions by using deontic and epistemic logics within the theory of normative positions. This work contributes to the logic-based legal knowledge representation tradition, and to the formal conceptual analysis of legal rights studying the cause of action’s role in the debated relation between the Hohfeldian categories ‘claim-right’ and ‘power’.

Developing Rule-Based Applications for the Web

2011 ◽  
pp. 456-477 ◽  
Author(s):  
Vassilis Papataxiarhis ◽  
Vassileios Tsetsos ◽  
Isambo Karali ◽  
Panagiotis Stamatopoulos
Keyword(s):  
Knowledge Representation ◽  
Comparative Study ◽  
Logic Programming ◽  
Web Applications ◽  
Distributed Applications ◽  
Rule Based ◽  
The Web

Embedding rules into Web applications, and distributed applications in general, seems to constitute a significant task in order to accommodate desired expressivity features in such environments. Various methodologies and reasoning modules have been proposed to manage rules and knowledge on the Web. The main objective of the chapter is to survey related work in this area and discuss relevant theories, methodologies and tools that can be used to develop rule-based applications for the Web. The chapter deals with both ways that have been formally defined for modeling a domain of interest: the first based on standard logics while the second one stemmed from the logic programming perspective. Furthermore, a comparative study that evaluates the reasoning engines and the various knowledge representation methodologies, focusing on rules, is presented.

Distinguishing between Knowledge Visualization and Knowledge Rrpresentation in Legal Informatics

2009 ◽  
Author(s):  
Vytautas Čyras
Keyword(s):  
Knowledge Representation ◽  
Essential Feature ◽  
Semantic Networks ◽  
Knowledge Visualization ◽  
Management Processes ◽  
Object Based ◽  
Legal Informatics ◽  
The Subject ◽  
Legal Knowledge Representation ◽  
Legal Domain

Knowledge visualization (KV) and knowledge representation (KR) are distinguished, though both are knowledge management processes. Knowledge visualization is subject to humans, whereas knowledge representation – to computers. In computing, knowledge representation leverages reasoning of software agents. Thus, KR is a branch of artificial intelligence. The subject matter of KR is representation methods. They are classified into (1) knowledge level and symbol level representations; (2) procedural and declarative representations; (3) logic-based, rule-based, frame- or object-based representations (supporting inference by inheritance); and (4) semantic networks. In legal informatics, methods of legal knowledge representation (LKR) are dealt with. An essential feature of LKR is the representation of deep knowledge, which is mainly tacit. It is easily understood by professional jurists and hardly by amateurs from outside law. This knowledge comprises the teleology of law and a whole implicit framework of legal system. The paper focuses on (1) identifying key features of KV and KR in the legal domain; and (2) distinguishing between visualization, symbolization, formalisation and mind mapping.

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