A team of LaSIGE and INESC-ID researchers is one of the winners of the Process Model Matching at EMISA 2015 – 6th International Workshop on
Enterprise Modelling and Information Systems Architectures. The team led by Cátia Pesquita developed an extension for LaSIGE’s awarded ontology matching system, AML, to extend its use to Enterprise Architecture Models.
EMISA 2015, was co-located with the 13th International Conference on Business Process Management (BPM 2015). Both events were hosted by the University of Innsbruck and BPM Research Cluster, and took take place in Innsbruck, Austria, from September 3rd-4th and August 31st – September 3rd respectively.
The strategic importance of enterprise modelling has been recognized by an increasing number of companies and public agencies. Enterprise modelling delivers the ‘blueprints’ for co-designing and aligning business and enterprise information systems such that they complement each other in an optimal way. As example consider the support of business processes by process-aware information Systems. Achieving such interplay requires a multi-perspective approach taking organizational, economic, and technical aspects into account. In a world of cloud, social and big data, additional challenges for enterprise modelling and the design of information systems architectures are introduced, e.g., in respect to the design of data-driven processes or processes enabling cross-enterprise collaboration. To deal with these challenges, a close cooperation of researchers from different disciplines such as Information Systems, Business Informatics, and Computer Science will be required.
Process Model Matching Contest
As a special event, the second Process Model Matching Contest took place under the umbrella of EMISA 2015. The goal of the workshop was to compare in an experimental evaluation existing methods and systems with the help of a rich set of various process model matching problems. At the workshop the most important results and insight of this event were presented in a special session.