Alexander Boer

LKIF Core: Principled Ontology Development for the Legal Domain

In this paper we describe a legal core ontology that is part of the Legal Knowledge Interchange Format: a knowledge representation formalism that enables the translation of legal knowledge bases written in different representation formats and formalisms. A legal (core) ontology can play an important role in the translation of existing legal knowledge bases to other representation formats, in particular as the basis for articulate knowledge serving. This requires that the ontology has a firm grounding in commonsense and is developed in a principled manner. We describe the theory and methodology underlying the LKIF core ontology, compare it with other ontologies, introduce the concepts it defines, and discuss its use in the formalisation of an EU directive.

MetaLex XML and the Legal Knowledge Interchange Format

Electronic government invariably involves XML and electronic law: legislation is as essential to public administration as the ball is to a ball game. This paper gives an overview of two XML standard proposals dealing with two complementary aspects of electronic legislation - the documents themselves as a carrier, and an institutional reality they represent - in a coherent way: MetaLex XML and the Legal Knowledge Interchange format (LKIF). MetaLex XML is well on its way to becoming formal and de facto standard for legislation in XML. LKIF is yet to be submitted as a proposed standard. LKIF includes some interesting innovations from an AI & Law perspective

An agent-based legal knowledge acquisition methodology for agile public administration

This paper proposes a knowledge elicitation method based on serious gaming for theory construction about the effects of the law on the behaviours of agents. These games provide input to simulations of business process and product design alternatives. For knowledge representation, we have combined agent role descriptions with a generic task framework. An important thesis of this paper is that, in the interest of quick and simple domain analysis, agent roles, not intelligent agents, should be the focal object of simulation of complex social organizations. At least if getting a grip on social complexity is the purpose of modeling.

Proposal for a Dutch Legal XML Standard

This paper presents a proposal for an XML Standard for legal sources in the Netherlands. The standard intends to provide a generic and easily extensible framework for the XML encoding of the structure and contents of legal and paralegal documents. It differs from other existing metadata schemes for legal documents in two respects; It is language-independent and it aims to accommodate uses of XML beyond search and presentation services.

Constructing a semantic network for legal content

The Dutch Tax and Customs Administration (DTCA) is one of many organizations that deal with a multitude of electronic legal data, from various sources and in different formats. In this paper, we describe the results of a study aimed at better access to these sources by having a supplier and format independent knowledge store that describes the sources and their interrelations in a semantic network. Furthermore we developed parsers to automatically detect the identity of sources and typed references within the sources to other legal documents. These parsers can be used to fill and update the semantic network as new documents are added.

Legal Knowledge Conveyed by Narratives: Towards a Representational Model

The paper investigates a representational model for narratives, aiming to facilitate the acquisition of the systematic core of stories concerning legal cases, i.e. the set of causal and temporal relationships that govern the world in which the narrated scenario takes place. At the discourse level, we consider narratives as sequences of messages collected in an observation, including descriptions of agents, of agents’ behaviour and of mechanisms relative to physical, mental and institutional domains. At the content level, stories correspond to synchronizations of embodied agent-roles scripts. Following this approach, the Pierson v Post case is analyzed in detail and represented as a Petri net. 1998 ACM Subject Classification H.1.2 Human information processing, I.2 Artificial Intelligence

Knowledge acquisition from sources of law in public administration

Knowledge acquisition from text, and sources of law in particular, is a well established technique. Text is even - certainly in the context of the Semantic Web - increasingly conceived of as a raw knowledge resource that can be mined for knowledge routinely and automatically. As experience by large public administrations shows, the maintenance of traceability to the original sources of law from context-dependent knowledge representation resources of various kinds is hardly a solved problem, though. The use of IT in general has increased the organizations capacity for change in many dimensions, but because of the increasing use of IT the organization has to manage an increasing number of executable pseudo-specifications that contain knowledge of the law but fail to present a coherent picture of it. In this paper we present some of the guiding principles and ontological distinctions we use in the Agile project to accurately document the use of the law as a knowledge resource in administrative organizations.

Towards a Legal Recommender System

In this paper we present the results of ongoing research aimed at a legal recommender system where users of a legislative portal receive suggestions of other relevant sources of law, given a focus document. We describe how we make references in case law to legislation explicit and machine readable, and how we use this information to adapt the suggestions of other relevant sources of law. We also describe an experiment in categorizing the references in case law, both by human experts and unsupervised machine learning. Results are tested in a prototype for Immigration Law.

Ontologies in the Legal Domain

Since the emergence of the Semantic Web building ontologies have become quite popular and almost every conference on information science including artificial intelligence and e- Government have tracks that cover (legal) ontologies. Ontologies are the vocabularies that can be used to describe a universe of discourse. In this chapter we want to explain the roles (legal) ontologies play in the field of legal information systems and (juridical) knowledge management. We emphasize the fact that these ontologies are social constructs that can be used to express shared meaning within a community of practice and also have a normative character. Many different ontologies have been created for similar and different purposes and two of them, both core ontologies of law that specify knowledge that is common to all domains of law, will be explained in more detail. The first one, is a Functional Ontology for Law (FOLaw). This ontology describes and explains dependencies between types of knowledge in legal reasoning. FOLaw is rather an epistemological framework than an ontology, since it is concerned with the roles knowledge plays in legal reasoning rather than with legal knowledge itself. Nevertheless FOLaw has shown some practical value in various applied European ICT projects, but its reuse is rather limited. We will also explain some aspects of the LRI-Core ontology which captures the main concepts in legal information processing. LRI-Core is particularly inspired by research on abstract commonsense concepts. Legal knowledge is based upon these commonsense concepts. Since legal knowledge always refers to the ‘real world’, although in abstract terms, the main categories of LRI-Core are physical, mental and abstract concepts. Roles cover in particular social worlds. Another special category is occurrences; terms that denote events and situations. In this chapter we illustrate the use of LRI-Core with an ontology for Dutch criminal law, developed in the e- Court European project and an ontology for Dutch administrative law developed in a project for the Dutch State Council.

Analysis of legal narratives: a conceptual framework

This article presents a conceptual framework intended to describe and to abstract cases or scenarios of compliance and non-compliance. These scenarios are collected in order to be animated in an agent-based platform for purposes of design and validation of both new regulations and new implementations, or to be used as reference base for a diagnosis tool. In our approach, legal narratives become a source of agent-roles descriptions, i.e. abstractions of individual characters/agents from singular stories, feeding the target applicative framework.