Using conceptual structures in enterprise architecture to develop a new way of thinking and working for organisations

Enterprise Architecture (EA) is a discipline that provides generic patterns that any organisation can reuse throughout its own business, informatics and technical components. However, EA’s current way of thinking and working to achieve this aim is not standardised. EA thus continues to “reinvent the wheel” that causes mistakes or wastes resources on rediscovering what should already be known. We, therefore, represent the specific business, information and technology meta-models as patterns that can be fully reintegrated in one repeatable meta-model for the whole organisation. The outcome is a new agile way of thinking and working, highlighted by how EA works better in enterprise layers, sub-layers and levels of abstraction. To test the meta-models, two forms of Conceptual Structures known as Conceptual Graphs (CGs) and Formal Concept Analysis (FCA) are brought together through the CGtoFCA algorithm. The algorithm identifies how the layered meta-models can share meaning and truth and without having to recombine them into one large, unwieldy meta-model as the repeatable structure

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

Intelligent libraries and apomediators: distinguishing between Library 3.0 and Library 2.0.

Many terms and concepts have appeared in and disappeared from the history of librarianship. Currently, the use of “point oh” naming system to label developments in librarianship is prevalent. Debate on the appropriateness, basis and syntax of this naming system is ongoing. Specifically, the profession has been lately engrossed in discourses in various contexts to unravel the real meaning and potential of Library 2.0. But even before this debate is settled, a new term, Library 3.0, is seeking space in the core librarianship lexicon. This development is causing confusion among librarianship scholars, practitioners and students especially on whether there is any significant difference between the two models. Through documentary analysis, the authors explored the true meanings of these terms and have concluded that Library 2.0 and Library 3.0 are indeed different. The authors have also concluded that whereas Library 2.0 could be seen as attempting to weaken the role of librarians in the emerging information environment, Library 3.0 projects librarians as prominent apomediaries standing by and guiding the library users on how best to locate, access and use credible information in myriad formats from diverse sources, at the point of need. The authors therefore note that the prospect of the Library 3.0 model has revived hope amongst the librarians who were uncomfortable with the crowd intelligence architecture on which the Library 2.0 model was founded. Similarly, the authors have concluded that Library 3.0 provides the tools and framework to organize the infosphere that the Library 2.0 threw into disarray. Thus Library 3.0 is generally understood to be an improvement of Library 2.0 tools and techniques. The authors propose that a 3.0 library be perceived as a personalizable, intelligent, sensitive and living institution created and sustained by a seamless engagement of library users, librarians and subject experts on a federated network of information pathways

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 formal concept analysis to neural decoding

This paper proposes a novel application of Formal Concept Analysis (FCA) to neural decoding: the semantic relationships between the neural representations of large sets of stimuli are explored using concept lattices. In particular, the effects of neural code sparsity are modelled using the lattices. An exact Bayesian approach is employed to construct the formal context needed by FCA. This method is explained using an example of neurophysiological data from the high-level visual cortical area STSa. Prominent features of the resulting concept lattices are discussed, including indications for a product-of-experts code in real neurons.Postprin

Concept Neighbourhoods in Lexical Databases

Abstract. This paper discusses results from an experimental study of concept neighbourhoods in WordNet and Roget’s Thesaurus. The general aim of this research is to determine ways in which neighbourhood lattices can be derived in real time from a lexical database and displayed on the web. In order to be readable the lattices must not be too large, not contain overlapping concepts or labels and must be calculated within seconds. Lattices should, furthermore, not be too small and they should contain sufficient complexity to be interesting for the viewer. For these purposes the sizes of the lattices of different types of concept neighbourhoods have been calculated. Using the size information should help with the task of on-line generation of the lattices.

Fragebogen zur Erfassung des stimmlichen Selbstkonzepts (FESS): Abhängigkeit des stimmlichen Selbstkonzepts von Alter und alltäglicher Stimmbeanspruchung

Hintergrund: Der "Fragebogen zu Erfassung des stimmlichen Selbstkonzepts (FESS)" [1] wurde 2015 von Nusseck et al publiziert. Er umfasst 17 Items, die drei Skalen konstituieren: Beziehung zur eigenen Stimme Bewusstheit im Umgang mit der eigenen Stimme Stimme und Emotion Diese Studie untersucht persönlichkeitsbezogene Aspekte der eigenen Stimme, deren Korrelation mit der alltäglichen Beanspruchung der Stimme, mit dem Alter und der Stimmqualität.Erstmals erfolgt hier die Anwendung des Fragebogens an einem nervenärztlichen Patientenkollektiv.Material und Methoden: Die Studie wurde in einer Praxis der Grundversorgung für Neurologie und Psychiatrie in einer ländlich geprägten Region in NRW durchgeführt. Allen in Frage kommenden Personen im Zeitraum vom 18.05.- 29.09.2016 wurde die freiwillige Teilnahme angeboten. Erhoben wurden neben Basisdaten wie Geschlecht, Alter und Raucherstatus der FESS, sowie die subjektiv empfundene Belastung der Stimme.Die Interne Konsistenz wurde mittels Cronbachs Alpha bestimmt.Ergebnisse: In dem gesetzten Zeitrahmen von gut drei Monaten haben 631 Personen den Fragebogen ausgefüllt, davon 609 vollständig. Cronbachs Alpha ergab für Skala 1 0,76, für Skala 2 0,77 und für Skala 3 0,61 und entspricht damit annähernd den Werten von Nusseck et al.Eine Korrelation mit dem Alter lässt sich für Skala 1 nicht nachweisen (p=0,66; r=-0,018), Skala 2 korreliert signifikant (p=0,02)aber nur minimal (r=-0,092) negativ mit dem Alter, ebenso Skala 3 (p=0,03; r=-0,086).Die alltägliche Beanspruchung der Stimme steht in einem signifikanten positiven, allerdings schwachen bis mittelstarken Zusammenhang mit allen drei Aspekten des stimmlichen Selbstkonzepts (Skala 1: r=0,181, p<0,0001; Skala 2: r=0,320, p<0,0001; Skala 3: r=0,218, p<0,0001)Diskussion: Die Anwendung des Fragebogens in der neurologischen Praxis gelang problemlos, die interne Konsistenz spricht für eine gute Übertragbarkeit der Ergebnisse aus der Validierungsstudie. Die geringe Altersabhängigkeit widerspricht einem verbreiteten Vorurteil, wonach älteren Menschen die Stimme weniger wichtig sei. Der Zusammenhang mit der Beanspruchung der Stimme im Alltag ist für Skalen 1 und 3 nur gering, für Skala 2 mittelstark.Fazit: Die Ergebnisse bestätigen die Anwendbarkeit des FESS in einem altersbezogen sehr breiten Kollektiv. Das Alter als Indikator für die persönliche Einstellung einer Person zu ihrer Stimme wurde widerlegt