Enhancing layered enterprise architecture development through conceptual structures

Enterprise Architecture (EA) enables organisations to align their information technology with their business needs. Layered EA Development (LEAD) enhances EA by using meta-models made up of layered meta-objects, interconnected by semantic relations. Organisations can use these meta-models to benefit from a novel, ontology-based, object-oriented way of EA thinking and working. Furthermore, the meta-models are directed graphs that can be read linearly from a Top Down View (TDV) or a Bottom Up View (BUV) perspective. Conceptual Structures through CG-FCA (where CG refers to Conceptual Graph and FCA to Formal Concept Analysis) is thus used to traverse the TDV and BUV directions using the LEAD Industry 4.0 meta-model as an illustration. The motivation for CG-FCA is stated. It is discovered that CG-FCA: (a) identifies any unwanted cycles in the ‘top-down’ or ‘bottom-up’ directions, and (b) conveniently arranges the many pathways by which the meta-models can be traversed and understood in a Formal Concept Lattice. Through the LEAD meta-model exemplar, the wider appeal of CG-FCA and directed graphs are also identified

Un système d'acquisition de données pour l'analyse en ligne des photographies de grandes chambres à bulles

Ce travail présente le système d'analyse des clichés de grandes chambres à bulles telles que Gargamelle et BEBC, réalisé au Groupe de Chambre à Bulles à Liquide Lourd à l'aide d'appareils de projection mis en ligne sur ordinateur CDC 1700. Ce travail présente les caractéristiques générales de ces appareils ainsi que celles de l'ordinateur et développe la conception et les fonctions des programmes d'analyse des photographies : prémesures, mesures et gestion des données. L'ensemble du système d'acquisition de données fonctionne dans un contexte de multiprogrammation en temps réel

Using Formal Concept Analysis and Information Flow for Modelling and Sharing Common Semantics: Lessons Learnt and Emergent Issues

We have been witnessing an explosion of user involvement in knowledge creation, publication and access both from within and between organisations. This is partly due to the widespread adoption of Web technology. But, it also introduces new challenges for knowledge engineers, who have to find suitable ways for sharing and integrating all this knowledge in meaningful chunks. In this paper we are exposing our experiences in using two technologies for capturing, representing and modelling semantic integration that are relatively unknown to the integration practitioners: Information Flow and Formal Concept Analysis

Querying a Bioinformatic Data Sources Registry with Concept Lattices

ISSN 0302-9743 (Print) 1611-3349 (Online) ISBN 978-3-540-27783-5International audienceBioinformatic data sources available on the web are multiple and heterogenous. The lack of documentation and the difficulty of interaction with these data banks require users competence in both informatics and biological fields for an optimal use of sources contents that remain rather under exploited. In this paper we present an approach based on formal concept analysis to classify and search relevant bioinformatic data sources for a given user query. It consists in building the concept lattice from the binary relation between bioinformatic data sources and their associated metadata. The concept built from a given user query is then merged into the concept lattice. The result is given by the extraction of the set of sources belonging to the extents of the query concept subsumers in the resulting concept lattice. The sources ranking is given by the concept specificity order in the concept lattice. An improvement of the approach consists in automatic refinement of the query thanks to domain ontologies. Two forms of refinement are possible by generalisation and by specialisation

An application of relation algebra to lexical databases

This paper presents an application of relation algebra to lexical databases. The semantics of knowledge representation formalisms and query languages can be provided either via a set-theoretic semantics or via an algebraic structure. With respect to formalisms based on n-ary relations (such as relational databases or power context families), a variety of algebras is applicable. In standard relational databases and in formal concept analysis (FCA) research, the algebra of choice is usually some form of Cylindric Set Algebra (CSA) or Peircean Algebraic Logic (PAL). A completely different choice of algebra is a binary Relation Algebra (RA). In this paper, it is shown how RA can be used for modelling FCA applications with respect to lexical databases

Quo Vadis, CS? - On the (non)-Impact of Conceptual Structures on the Semantic Web.

Conceptual Structures is a field of research which shares abstract concepts and interests with recent work on knowledge representation for the Semantic Web. However, while the latter is an area of research and development which is rapidly expanding in recent years, the former fails to participate in these developments on a large scale. In this paper, we attempt to stimulate the Conceptual Structures community to catch the Semantic Web train. © Springer-Verlag Berlin Heidelberg 2007