Please follow this link for the CAiSE registration website. Please make sure to
select the option “2 Days Co-located Events or Workshops” or book a "full ticket" for the whole conference and 2-days co-located events.
The CAiSE conference also provides various suggestions for accomodation.
|Monday, June 12|
|09:15 – 09:30||Welcome|
|09:30 – 10:30||Matthias Jarke||Data Spaces: Information Modeling for Data Sovereignty|
|Kevin Andrews, Sebastian Steinau and Manfred Reichert||Towards Hyperscale Process Management (Novel)|
|Dora Ori||Misalignment Symptom Detection with XML-based Enterprise Architecture Model Analysis (Novel)|
|Johannes Schobel, Rüdiger Pryss, Marc Schickler and Manfred Reichert||Process-Driven Mobile Data Collection (Current)|
|Saimir Bala||Mining Projects from Structured and Unstructured Data (PhD)|
|Mathijs Creemers and Mieke Jans||Leveraging process mining techniques for up-to-date resource profiles (PhD)|
|Benjamin Ternes||Design and evaluation of a web-based modeling platform to support the learning of conceptual modeling and of studying the corresponding learning process (PhD)|
|Agnes Koschmider||Microservices-based Business Process Execution (Novel)|
|Tomas Jonsson and Håkan Enquist||Model Based IS Life Cycle management -- the Case of a Defence Acquisition ERP system (Current)|
|17:30 – 18:30||EMISA Steering Committee Meeting|
|Tuesday, June 13|
|09:00 – 10:00||Dirk Fahland||Software in Informationsystems-Research: Methods and Obstacles|
|Session 4||10:00 – 10:30||Andrea Burattin, Vered Bernstein, Manuel Neurauter, Pnina Soffer and Barbara Weber||Detection and Quantification of Flow Consistency in Business Process Models (Current)|
|Claudio Di Ciccio, Fabrizio Maria Maggi, Marco Montali and Jan Mendling||Resolving Inconsistencies and Redundancies in Declarative Process Models (Current)|
|David Knuplesch, Manfred Reichert and Akhil Kumar||A Framework for Visually Monitoring Business Process Compliance (Current)|
|Dora Ori||An Artifact-Based Framework for Business-IT Misalignment Symptom Detection (Current)|
|Session 6.1 /
|Jonas B. Gassen, Jan Mendling, Amel Bouzeghoub, Lucinéia Heloisa Thom and José Palazzo M. de Oliveira||An experiment on an ontology-based support approach for process modeling (Current)|
|Cristina Cabanillas||Process- and Resource-Aware Information Systems (Current)|
|Felix Mannhardt, Massimiliano de Leoni, Hajo A. Reijers, Wil M. P. van der Aalst, and Pieter J. Toussaint||From Low-Level Events to Activities - A Pattern-Based Approach (Current, Best Student Paper at BPM)|
|Session 6.2 /
|Razvan Petrusel, Jan Mendling and Hajo A. Reijers||How visual cognition influences process model comprehension (Current)|
|Luise Pufahl and Mathias Weske||Batch Processing across multiple Business Process based on Object Life Cycle (Current, Best Paper at BIS)|
|Diego Calvanese, Marlon Dumas, Ülari Laurson, Fabrizio Maria Maggi, Marco Montali, and Irene Teinemaa||Semantics and Analysis of DMN Decision Tables (Current, Best Paper at BPM)|
|17:30 – 17:45||Closing and Outlook to EMISA 2018|
Matthias Jarke (RWTH Aachen University and Fraunhofer FIT)
Data Spaces : Information Modeling for Data Sovereignty
Around the turn of the century, personal data spaces were proposed as a means to structure, collect, and maintain an individualized information management environment combining own data with query results from heterogeneous external sources. Data analytics for personal purposes could thus be conducted with preferred algorithms under one’s own conceptual umbrella (e.g. ontology).
In the following years, this idea has been generalized to the corporate world, in order to broaden the scope of the data warehouse solutions from the late 1990s to include external data and suitable extracts from data streams. The term “Data Lake” has become a popular buzzword for this idea, which enables a much broader data and stream mining within the Big Data wave.
But also from a more critical viewpoint, the “lake” metaphor is actually quite revealing. Lakes do not just contain a lot of water and other interesting things. They also run a risk of flooding (disruptive business models) and being polluted (fake news), may contain things that belong to others (copyright violations), and may invite legal or illegal fishing by competitors. If you try to prevent these problems, monopolies or oligopolies may result, creating yet another set of issues. Everyone likes to have a big, clean, and productive data lake, but no one wants to contribute to it for free – and if some do, they often regret it, as some examples in the talk will show. Especially small and medium-sized enterprises, but even larger organizations see themselves caught between the Scylla of threats to their knowhow, and the Charybdis of losing competitiveness by not exploiting the chances of modern data science.
Recognizing these challenges, a group of Fraunhofer researchers launched, in 2014, an initiative to investigate, if and how the idea of protected personal data spaces could be generalized to a corporate setting. The key goal is to enable data sharing and analytics across organizational boundaries, without revealing core knowhow of partners.
Since 2015, the government-funded Fraunhofer Data Space project and related use case projects have experimented with solution elements such as effective data containers for heterogeneous data exchange under clearly defined semantics and usage conditions, related security and business model approaches, as well as technical questions of efficiency. However, the most important result so far, presented at the Hannover Fair in April 2017, is a reference architecture around which an extensible innovation infrastructure can be organized. To promote this goal, the international Industrial Data Space initiative has been founded by industry and government, and already involves over 70 companies, research organizations, and public administration bodies worldwide. Beyond the industrial sector, related data space concepts are also developed as a basis for, e.g., a data-driven approach to evidence-based medicine, and for enabling innovation exchange in the materials research community.
In addition to giving a brief overview on the challenges and achievements from the research side, the keynote talk will focus on the information modeling aspects of the data space concept and its relationships to earlier work on data warehouse and personal data space modeling.
Bio: Matthias Jarke is a professor of Information System at RWTH Aachen University, executive director of the Fraunhofer FIT Institute for Applied Information Technology, and past chair of the Fraunhofer ICT Group, the largest applied IT research organization in Europe. After obtaining his doctorate from the University of Hamburg, he served on the faculties of the Stern School of Business at New York University and of the University of Passau, Germany, before joining RWTH Aachen in 1991. His research is focused on metadata and conceptual modeling in applications for business, engineering, and culture. He was coordinator of foundational European projects in requirements engineering and data warehouse management, an served as co-coordinator of the DFG-funded Excellence Cluster UMIC on Ultra-Highspeed Information and Communication Systems at RWTH Aachen University. His over 450 refereed publications caught more than 17.000 citations. He served in senior editor roles for journals such as Information Systems, ACM TOIS, ACM TMIS, and IEEE Transactions on Software Engineering, and was program chair of conferences such as CAiSE, EDBT, ER, SSDBM, and VLDB. Jarke served as treasurer and president of the GI German Informatics society, is a fellow of GI and of the ACM, and a member of the acatech National Academy of Science and Engineering. He is a member of several advisory and supervisory board, including the CONNECT Advisory Forum of the European Commission.
Dirk Fahland (TU Eindhoven)
Software in Informationsystems-Research: Methods and Obstacles
Research on methods and applications in Computer Science in general and
in Information Systems specifically often entails the need to realize
ideas and concepts in software implementations to demonstrate
applicability and evaluate claimed contributions. This gives researchers
the dual roles of scientist and software engineer that ideally form a
symbiotic relation: realizing research ideas in software clarifies ideas
and helps communicate findings, experimenting with software reveals open
problems and shortcomings that stimulate further research and open new
The underlying assumption in this symbiosis is that the exchange between research and software is not hindered in significant way. In reality, many obstacles turn up. Even when published as open-source software with all source code available, the developed software is not designed with reuse and maintainability in mind, can often handle only specific inputs and fails on other inputs, is often poorly documented, and has dependencies on other software packages and environments which becomes unavailable after just a few years' time. This "technical debt" accrues over time. As researchers leave groups and projects, software gets abandoned, and the knowledge to run, maintain, and integrate it with other software gets lost. As a consequence, research results become hard or impossible to reproduce and existing realizations cannot be used in further research.
In this talk, I will present and discuss two fundamentally different cases of research software and how the research groups dealt with the above challenges that I experienced firsthand. The first case is a large collection of software tools on the analysis of services and their behavioral correctness in the area of Service-Oriented Architectures developed in a joint project between HU Berlin, TU Eindhoven, and University of Rostock (http://service-technology.org/, https://github.com/nlohmann/service-technology.org). The second case is the Process Mining research platform ProM developed and maintained by TU Eindhoven with contributions from dozens of research groups worldwide (http://www.promtools.org/). I will briefly explain the research behind both cases, the objectives of the software implementation, discuss the organizational circumstances and technical decisions that were made in each project, and shed light on the difficulties faced and what lessons can be learned from these.
Bio: Dirk is Assistant Professor (UD) in the AIS group. He completed his PhD with summa cum laude at Humboldt-Univeristät zu Berlin and Eindhoven University of Technology in 2010. His research interests include distributed processes and systems built from distributed components for which he investigates modeling systems (using process modeling languages, Petri nets, or scenario-based techniques), analyzing systems for errors or misconformances (through verification or simulation), and process mining/specification mining techniques for discovering system models from event logs. He particularly focuses on distributed system with multi-instance characteristics and their synchronizing and interacting behaviors. Dirk published his research results in over 40 articles at international conferences and journals such as Software & Systems Modeling, The Computer Journal, Data and Knowledge Engineering, IEEE Transactions on Services Computing, and Information Systems, and implemented them in a number of software tools.
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.
Subject and Topics
EMISA 2017 is the eighth international workshop in a series that provides a key forum for researchers and practitioners in the fields of enterprise modelling and the design of information system (IS) architectures. The workshop series emphasizes a holistic view on these fields, fostering integrated approaches that address and relate business processes, business people and information technology. The workshop is open for a broad range of subjects. Possible topics include, but are not limited to:
Possible topics include, but are not limited to:
- Enterprise modelling: languages, methods, tools
- Patterns for enterprise modelling
- Patterns for information systems architectures
- Model life cycle management
- Model evolution
- Model configuration and model variants
- Model quality: metrics, case studies, experiments
- Process modelling and process-aware information systems
- Collaborative enterprise modelling
- Model-driven architectures
- Model-driven IS development
- Component- and service-oriented software architectures
- Service engineering and evolution
- Service composition, orchestration and choreography
- Complex event processing and event-driven architectures
- Human aspects in enterprise modelling
- Modelling social information and innovation networks
- Information systems in the cloud
- Mobile enterprise services
The workshop is organized by the GI Special Interest Group on Design Methods for Information Systems (GI-SIG EMISA www.emisa.org), which provides a forum for researchers from various disciplines who develop and apply methods to support the analysis and design of information systems. EMISA 2017 will take place in Essen, Germany, co-located with the 29th International Conference on Advanced Information Systems Engineering (CAiSE).
Submission typesEMISA 2017 calls for submissions in the following categories:
PhD Research Proposals:EMISA 2017 invites PhD students to submit research proposals. There will be a dedicated slot in the program to discuss PhD research proposals including the current status and the further plan of the research work. PhD research proposals shall be submitted as a short paper of 5 pages.
Current Research Talk Proposals:EMISA 2017 invites proposals for scientific talks of international excellence. Eligible are proposal submissions that are based on published or accepted papers from international conferences or journals. Proposals for research talks shall be submitted as an extended abstract of up to 2 pages.
Novel Directions Talk Proposals:EMISA 2017 invites proposals for talks that motivate a novel research direction, outline the research gaps to address, and carve out major challenges. These talks shall serve as a stimulus for discussions as part of a dedicated slot in the workshop program. Novel directions talk proposals shall be submitted as a short paper of 5 pages.
All accepted submissions (PhD Research, Current Research Talk, Novel Directions Talk) will be published in the next print edition of EMISA Forum. The short papers proposing PhD Research or a Novel Directions Talk will also be published as an electronic CEUR proceedings volume.
All submissions have to strictly follow the formatting guidelines of LNI. Template and explanations can be found at the GI website. Submissions have to be made via easychair.org.
Submission of proposals (extended)
Notification of acceptance
Final version of extended abstracts (LNI 2 pages) and short papers (LNI 5 pages) due
- Jörg Desel, Fernuniversität in Hagen
- Daniel Moldt, University of Hamburg
- Andreas Oberweis, Karlsruhe Institute of Technology (KIT)
- Agnes Koschmider, Karlsruhe Institute of Technology (KIT)
- Dirk Fahland, TU Eindhoven
- Stefan Klink, Karlsruhe Institute of Technology (KIT)
- Horst Kremers, CODATA-Germany
- Henrik Leopold, VU Amsterdam
- Heinrich C. Mayr, Alpen-Adria-Universität Klagenfurt
- Markus Nüttgens, University of Hamburg
- Hansjuergen Paul, Institut Arbeit und Technik
- Henderik Proper, Radboud University Nijmegen
- Manfred Reichert, University of Ulm
- Ulrich Reimer, FHS St.Gallen
- Stefan Strecker, FernUniversität in Hagen
- Gottfried Vossen, University of Münster
- Barbara Weber, Technical University of Denmark
- Mathias Weske, Hasso Plattner Institute, University of Potsdam
- Ralf Laue, FH Zwickau
- Kurt Sandkuhl, University of Rostock