Thönssen, Barbara

Lade...
Profilbild
E-Mail-Adresse
Geburtsdatum
Projekt
Organisationseinheiten
Berufsbeschreibung
Nachname
Thönssen
Vorname
Barbara
Name
Thönssen, Barbara

Suchergebnisse

Gerade angezeigt 1 - 8 von 8
Lade...
Vorschaubild
Publikation

Determining Information Relevance Based on Personalization Techniques to Meet Specific User Needs

2018, Thönssen, Barbara, Witschel, Hans Friedrich, Rusinov, Oleg, Dornberger, Rolf

Vorschaubild nicht verfügbar
Publikation

EPOs, an Early Warning System for Post-Merger IS Integration

2015, Unkan, Erol, Thönssen, Barbara

Vorschaubild nicht verfügbar
Publikation

An approach for coping with risks in contract management

2013, Lutz, Jonas, Thönssen, Barbara, Witschel, Hans Friedrich

Vorschaubild nicht verfügbar
Publikation

Modeling for learning in public administrations. The Learn PAd Approach

2016, De Angelis, Guglielmo, Pierantonio, Alfonso, Polini, Andrea, Re, Barbara, Thönssen, Barbara, Woitsch, Robert, Karagiannis, Dimitris, Mayr, Heinrich C., Mylopoulos, John

Vorschaubild nicht verfügbar
Publikation

Towards an Agile Requirements Engineering Process combining HERMES 5 and SCRUM

2015, Schär, Birgit, Jüngling, Stephan, Thönssen, Barbara

Vorschaubild nicht verfügbar
Publikation

Ontologies for E-Government

2010-01-04T00:00:00Z, Thönssen, Barbara, Hinkelmann, Knut, Wolff, Daniela

Vorschaubild nicht verfügbar
Publikation

Business Architecture for Process- Oriented Learning in Public Administration

2015, Silingas, Darius, Thönssen, Barbara, Pierantonio, Alfonso, Efendioglu, Nesat, Woitsch, Robert

Lade...
Vorschaubild
Publikation

Connecting Enterprise Architecture and Information Objects Using an Enterprise Ontology

2013-11, Hinkelmann, Knut, Maise, Michaela, Thönssen, Barbara, van der Merwe, Alta, Gerber, Aurona, de la Harpe, Andre

In this paper we show how semantic metadata – derived from the enterprise architecture description - can improve both the exploitation of information in the operative business and the continuous alignment of information systems with the business. ArchiMEO, a formal representation of the ArchiMate framework, was applied to model selected parts of a large Swiss company, including metadata of concrete information objects stored in various applications. The evaluation of our approach clearly gave evidence that linking an enterprise ontology with operational databases is beneficiary: it provides an integrated view and management of enterprise entities spread over various data stores, represented in different ways and levels of granularity. Furthermore, because of its inference capabilities, when used as metadata encoding scheme an enterprise ontology can provide context-sensitive access to relevant information.