Brigitte Biebow

Revisiting Ontology Design: A Methodology Based on Corpus Analysis

We promote a new approach for knowledge modelling based on knowledge elicitation from technical documents. It benefits of the increasing amount of available electronic texts and of the maturity of natural language processing tools. The approach defines a framework where the knowledge engineer selects the appropriate tools, combines their use and interprets their results to build up a domain model. The paper presents the method and reports an on-going application to design an ontology of knowledge engineering tools in French.

TERMINAE: A Linguistic-Based Tool for the Building of a Domain Ontology

The purpose of TERMINAE is to help building an ontology, both from scratch and from texts, without control by any task. Requirements have been defined for a methodology on the basis of real experiments. TERMINAE fulfills these requirements, involving theoretical bases from linguistics and knowledge representation. Its strong points are integration of a terminological approach and an ontology management, precise definition of concept types reflecting modeling choices, and traceability facilities. This paper presents briefly the experiments leading to the requirements, and focuses on the tool and its underlying methodology.

A Comparison between Conceptual Graphs and KL-ONE

In this paper is presented a comparison between conceptual graphs and KL-ONE semantic networks. For non-specialists, the two systems are based on similar principles: those of structured inheritance networks. They are conceived to provide term descriptions in the shape of necessary and sufficient conditions, and these terms are hierarchicaly structured. It seems so necessary to place them more precisely one with respect to the other.

Mdωπ: A Modelling Language to Build a Formal Ontology in Either Description Logics or Conceptual Graphs

Mdωπ is a semi-formal modelling language allowing to model graphically static knowledge of a domain under the form of a conceptual network. It makes easier the model translation into a representation formalism as description logics and conceptual graphs. Mdωπ is part of a more general method designed to build domain ontologies from French texts. The approach has been proposed in the context of an industrial application concerning the supervision of telecom networks. Using Mdωπ implies modelling before formal representation in order to avoid the pitfalls of direct representation. Choice of a formalism and its implementation is allowed to be postponed until the representation needs are better known.

Acquisition and Validation: From Text to Semantic Network

This paper presents how modeling knowledge in a logic-based semantic network allows domain knowledge acquisition from texts and its validation.

Spécification des compléments de service rnis: du langage naturel À la représentation des connaissances

Cet article decritle passage de specifications redigees en langage naturel a leur representation dans un formalisme de representation des connaissances. Le point central de l’article reside en l’elaboration d’un noyau de base de connaissances terminologique, c’est-a-dire d’une ontologie, a partir de textes. Une methodologie est presentee ainsi que les principes sur lesquels elle repose. Un outil d’aide a ete developpe pour sa mise en œuvre. Cette methodologie a ete appliquee au domaine des complements de service RNIS et l’ontologie resultante a ete utilisee pour representer automatiquement des textes de specification.We present a study on the formalization of software specification written in natural language, more precisely on the translation from natural language to conceptual representation of texts which specify ISDN supplementary services. The paper focuses on a methodology to build the terminological base kernel, usually called the domain ontology, from the corpus. The methodology and its basic principles will be described, with a tool supporting it. Finally it will be shown how the resulting kernel can be enriched by texts through a semantic natural language processing.RésuméCet article décritle passage de spécifications rédigées en langage naturel à leur représentation dans un formalisme de représentation des connaissances. Le point central de l’article réside en l’élaboration d’un noyau de base de connaissances terminologique, c’est-à-dire d’une ontologie, à partir de textes. Une méthodologie est présentée ainsi que les principes sur lesquels elle repose. Un outil d’aide a été développé pour sa mise en œuvre. Cette méthodologie a été appliquée au domaine des compléments de service RNIS et l’ontologie résultante a été utilisée pour représenter automatiquement des textes de spécification.