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Artifact Compatibility for Enabling Collaboration in the Artificial Intelligence Ecosystem

  • Yuliyan V. Maksimov
  • Samuel A. Fricker
  • Kurt Tutschku
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 336)

Abstract

Different types of software components and data have to be combined to solve an artificial intelligence challenge. An emerging marketplace for these components will allow for their exchange and distribution. To facilitate and boost the collaboration on the marketplace a solution for finding compatible artifacts is needed. We propose a concept to define compatibility on such a marketplace and suggest appropriate scenarios on how users can interact with it to support the different types of required compatibility. We also propose an initial architecture that derives from and implements the compatibility principles and makes the scenarios feasible. We matured our concept in focus group workshops and interviews with potential marketplace users from industry and academia. The results demonstrate the applicability of the concept in a real-world scenario.

Keywords

Compatibility Licensing Marketplace Artificial intelligence Machine learning Deep learning 

Notes

Acknowledgments

We express our gratitude to our colleagues from SYNYO GmbH in Austria and nViso SA in Switzerland for the fruitful collaboration, as well as to all participants in our focus group workshops and interviews for their invaluable input. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732204 (Bonseyes). This work is supported by the Swiss State Secretariat for Education‚ Research and Innovation (SERI) under contract number 16.0159. The opinions expressed and arguments employed herein do not necessarily reflect the official views of these funding bodies.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Yuliyan V. Maksimov
    • 1
    • 3
  • Samuel A. Fricker
    • 1
    • 2
  • Kurt Tutschku
    • 3
  1. 1.Institute for Interactive TechnologiesFHNW University of Applied Sciences and Arts Northwestern SwitzerlandWindischSwitzerland
  2. 2.Software Engineering Research Laboratory (SERL-Sweden)Blekinge Institute of TechnologyKarlskronaSweden
  3. 3.Department of Computer Science and Engineering (DIDD)Blekinge Institute of TechnologyKarlskronaSweden

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