Andreas L. Opdahl – författare

The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice.

The 28 full papers presented in this volume were carefully reviewed and selected from a total of 87 submissions. The book also includes 15 Forum papers and 6 Doctoral Consortium papers. The contributions were organized in topical sections named: Requirements; conceptual modeling and ontologies; machine learning and analytics; conceptual modeling and semantic networks; business process design and computing in the continuum; requirements and evaluation; monitoring and recommending; business process analysis and improvement; user interface and experience; forum papers; doctoral consortium papers. Two-page abstracts of the tutorials can be found in the back matter of the volume.

This volume constitutes the proceedings of the 4th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling, held in Oslo, Norway, during November 2-3, 2011. The conference series is a dedicated forum where the use of enterprise modeling (EM) in practice is addressed by bringing together researchers, users, and practitioners in order to develop a better understanding of the practice of EM, to contribute to improved industrial EM applications, and to share knowledge and experiences.

The 18 papers presented were carefully reviewed and selected from 38 submissions. Authored by both researchers and practitioners, they reflect the fact that EM encompasses human, organizational issues as well as technical aspects related to the development of information systems. The papers are organized in five thematic sessions on process modeling, business modeling, enterprise architecture, EM, and model-driven development. In addition, two keynotes on EM in an agile world and on intra- and inter-organizational process mining complete the volume.