The Unified Enterprise Modelling Language – Overview and Further Work

Abstract

The Unified Enterprise Modelling Language (UEML) aims to support integrated use of enterprise and IS models expressed in a variety of languages. The achieve this aim, UEML provides a hub through which different languages can be connected, thereby paving the way for connecting the models expressed in those languages. UEML offers a structured approach to describing enterprise and IS modelling constructs, a common ontology to interrelate construct descriptions at the semantic level, a correspondence analysis approach to estimate semantic construct similarity, a quality framework to aid selection of languages, a meta-meta model to organise the UEML and a set of tools to aid its use. This paper presents an overview of UEML and points to paths for further work.

From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling

“…For example, open semantic data sets can be used both for enriching and mining enterprise models, and enterprise models can be used to help users by making sense of, providing context for and offering access to semantically annotated information. The research challenge is to connect the implicit, but often tacit, semantic assumptions made in enterprise models and EM languages (Anaya et al 2010) to link them to the bottom-up web of semantically annotated data where anyone can contribute anything about any topic using their preferred vocabulary (Allemang and Hendler 2011). Research on these aspects has to combine approaches from traditional conceptual enterprise modeling with techniques found in artificial intelligence, semantic web, and linked dinfluence on the actor's response towardsata.…”

Towards a Meta-Model for Networked Enterprise

“…As future work, we intend to extend the NEMO meta-model to build a Framework for Networked Enterprise Interoperability using enterprise modelling approaches such as UEML [55], CIMOSA [56], etc. This framework will be completed by an interoperability assessment method based on formal metrics and maturity levels which will tackle the interoperability potential of each member of a NE and the compatibility between them.…”

An approach to service-oriented information systems architecture development based on semantic closure measure

“…Generation of system ontology based on descriptive models is a critical task as for existing system modification as well as one of steps for system design. Issues of system ontological description development based on project documentation and views in modeling languages are described in papers [5], [6], [7], [8].…”