SIFAI Workshop

International workshop on

Smarter interoperability with federation and artificial intelligence (SIFAI)

In conjunction with I-ESA 2020 (

Nov. 2020, Tarbes, France

Several trends put pressure on the state-of-the-art of interoperability, including big data and data-driven organizations, data management and stewardship, and digital ecosystems. Data-driven organizations use big data to improve their processes, products and services, based on a better understanding of what is going on. Clearly, such organizations should be able to free data from silos, make the right data accessible at the right time, yet comply with (e.g., privacy) regulations. Data management and data stewardship become important if data needs to be shared and/or reused, thus avoiding duplication of efforts to create and deliver the data. Digital ecosystems often incorporate the above trends, while adding another level of complexity related to flexible cross-organizational interoperability. A digital ecosystem is a demand-driven grouping of interaction-oriented companies that collaborate based on digital data sharing to satisfy ever-changing customer needs.

Digital ecosystems seem to require the holy grail of interoperability, which is empowering arbitrary organizations to instantly share digital data and use the data for purposes and with outcomes that are fit for the interoperation context. ‘Instantly’ means that organizations do not have to go through tedious procedures to agree on a common protocol, data schema and collaboration goal. ‘Fitness’ includes that the consumer of data respects any constraints on the use of the data that might have been defined by the provider of data.

Federated approaches, such as for example advocated by the International Data Spaces Association and the GO FAIR Initiative, appear to be the most pragmatic ones to enable both maximum autonomy of companies and data sharing between companies. In addition, these approaches can be used to create data pools that cannot be created by companies (notably SMEs) alone, enabling artificial intelligence applications to improve collaborative services. This begs the question to what extent artificial intelligence can be applied to further the state-of-the-art of interoperability and bring it closer to what is needed by digital ecosystems in practice.

This workshop solicits papers that discuss federated approaches and artificial intelligence applications for addressing the interoperability challenges of ecosystems, including those that cross application domains and national borders. The objective of the workshop is to bring together researchers and practitioners on federated interoperability and artificial intelligence and to identify new ways to address interoperability challenges that emerge from big data and data-driven organizations, data management and stewardship, and digital ecosystems. Specifically, the workshop aims at exploring:

  • how federated approaches to interoperability can provide practical trade-offs between autonomy, control over data, flexibility, and sharing of data.
  • how artificial intelligence (e.g., machine learning) can make interoperability ‘smarter’, in the sense of automating decision-making towards achieving interoperability and reducing human effort and intervention.

Topics of interest to the workshop include but are not limited to:

–              Enterprise interoperability

–              Digital ecosystems and systems-of-systems

–              Networked enterprise information systems

–              Industrial Data Space (IDS)

–              Findable, Accessible, Interoperable and Reusable (FAIR) principles

–              Industry 4.0 / Smart Industry

–              Sustainable interoperability

–              Model-driven interoperability

–              Knowledge graphs and ontologies for semantic interoperability

–              Semantic matching and semantic unification

–              Dynamic interoperability

–              Cross-domain and trans-national interoperability

–              Self-explanatory models

–              AI-driven smart interoperability

–              Validation approaches for smart interoperability

Submitted papers should be 4-6 pages in ISTE format ( and contain original work of the authors. The submission should be done using the submission webpage on EasyChair ( Each submission will be reviewed by at least three members of the Programme Committee. Accepted papers should be presented at the workshop by one of the authors. All accepted papers will be published by ISTE/Wiley.

Important dates:

–              Abstracts: January 15, 2020

–              Complete draft papers (to be presented at the workshop): February 14, 2020

–              Workshop: 24 or 25 March, 2020 (exact place, date and time to be announced)

–              Final papers (for publication in the proceedings book): April 17, 2020

Workshop chairs:

Marten van Sinderen, University of Twente, Netherlands

Joao Moreira, Apollo-Vredestein and University of Twente, Netherlands

Programme Committee:

Giancarlo Guizzardi, Free University of Bozen-Bolzano, Italy

Carlos Palau, Universitat Politecnica de Valencia, Spain

Luiz Bonino Da Silva Santos, GO FAIR Office, Netherlands

Maria Iacob, University of Twente, Netherlands

Robert Pergl, Czech Technical University in Prague, Czech Republic

Maxime Lefrançois, MINES Saint-Etienne, France

Patricia Dockhorn Costa, Federal University of Espirito Santo, Brazil