Call: Workshop on Interaction-based Knowledge Sharing (WINKS)

Workshop on Interaction-based Knowledge Sharing (WINKS)

This workshop will take place at the 3rd Joint Ontology Workshop (JOWO) in Bolzano, Italy between 21 and 23 September 2017


Deadline for ALL submissions: Monday 17 July 2017


This first Workshop on Interaction-Based Knowledge Sharing (WINKS) collocated with the third Joint Ontology Workshops ( is fully dedicated to challenges and solutions to knowledge sharing in interaction-based environments, ranging from the Internet of Things to multi-agent systems. Gradually expanding, distributed systems heighten the need of a dynamic interactive knowledge sharing process, while at the same time an increasing heterogeneity of resources renders this process more complex. As a highly interdisciplinary workshop, discussions will center on requirements and suggestions to endow computational models with knowledge sharing capabilities in interactive scenarios.


Sharing knowledge becomes increasingly important in the age of information and a growing number of gradually expanding, distributed systems heighten the need of a dynamic interactive sharing process. Interaction is seen here as any kind of communication between human and artificial agents. Nowadays knowledge can be learned, extracted, produced or elicited by a wide range of automated systems. These systems span across various disciplines ranging from Big Data to the Internet of Things. The increasing number and heterogeneity of knowledge sources has rendered knowledge sharing proportionally more complex. With new technologies, new knowledge sources keep on appearing and a centralized sharing process becomes more and more unrealistic. In parallel, the era of information creates an important demand of knowledge. Thus, present-day computer science sees an increasing number of approaches on the fundamental issues of knowledge sharing while new techniques are developed to overcome these issues.

Among this set of approaches, interaction-based knowledge sharing requires particular attention, both for its ambitious scope and the fundamental issues that it addresses. Indeed, the interactive property grants this approach the same advantages and challenges of other dynamic systems. It allows distributed sources to bring together their knowledge instead of having one replacing its own knowledge with a duplicate of one other, in an asymmetric relation. It also allows integration, through which new knowledge can emerge. Finally, interaction allows feedback during the sharing, helping system to control both the process and the success of the integration. However, this approach comes with some challenging requirements: heterogeneity in vocabularies and methodologies between sources requires adaptability. Additionally, emergent knowledge adds a necessity to deal with novelty and unpredictable results. Finally, humans are a source of knowledge that artificial agents still have difficulties to decipher, especially when they are in natural language.

In this first edition of the workshop, we invite submissions that address the fundamental issues and possibilities offered by an interaction-based approach of knowledge sharing. At the same time, we are interested in submissions that provide solutions for allowing knowledge sharing in an interactive way. With a growing realisation that interdisciplinary, interorganizational and international exchange of information is beneficial to the individual, it is time to adapt our computational models to the same objectives or maybe improve or challenge our computational models. Because of this growing importance of interdisciplinary research and the recent progress made in the study of dynamic systems, we believe that it is now time to bring together first-rate solutions to interaction-based knowledge sharing.


Topics of interest for papers, posters, and software demonstrations of original and unpublished work include, but are not limited to:

  • Ontological grounding of knowledge sharing and interactions:
  • Theories of knowledge sharing in human-machine interaction
  • Theories of knowledge sharing in human-human interaction
  • Sharing semantics in natural language interactions
  • Knowledge sharing in robotics and autonomous systems
  • Cognitive aspects of knowledge sharing
  • Multidisciplinary approaches to interaction-based knowledge sharing

Interaction-Based Reasoning:

  • Interactive case-based reasoning
  • Distributed reasoning in multi-agent systems
  • Distributed reasoning in the Internet of Things, Semantic Web, and Big Data

Interaction-Based Knowledge Resources Engineering:

  • Ontology alignment in multi-agent systems
  • Machine learning in distributed system engineering
  • Creation of datasets by distributed interactive systems
  • Collaborative ontology engineering

Knowledge Sharing in Interaction-based Applications:

  • Case studies
  • Applications in different domains, e.g. life sciences, social sciences, etc.
  • Applications in industry


Submissions need to present original research and contain an abstract of no more than 300 words. All submissions should be blind and will receive two peer reviews.

Please submit your paper by means of the easychair submission site of JOWO 2017 using track WINKS. For the formatting of submissions please follow the IOS press template.

Types of submissions are:

  • Full papers: mature research work describing original research and its validation (10-12 pages including references)
  • Short papers: research papers describing interesting new open issues and challenges, and opinions on the status of the field (4-5 pages including references)


Paper submission deadline: 17 July 2017
Notifications: 15 August 2017
Camera-ready version: 1 September 2017
Workshop: between 21 and 23 September 2017


Kemo Adrian, Artificial Intelligence Research Institute (IIIA – CSIC), Spain
Jérôme Euzenat, INRIA, France
Dagmar Gromann, Artificial Intelligence Research Institute (IIIA – CSIC), Spain


Brandon Bennett, University of Leeds, Leeds, UK
Paula Chocron, Artificial Intelligence Research Institute (IIIA), Barcelona, Spain
Thierry Declerck, DFKI, Saarbrücken, Germany
Karl Hammar, Jönköping University, Jönköping , Sweden
Fiona McNeill, Heriot-Watt University Edinburgh, United Kingdom
Axel-C. Ngonga Ngomo, University of Leipzig and University of Paderborn, Germany
Enric Plaza, Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona, Spain
Michael Rovatsos, University of Edinburgh, Edinburgh, UK
Marco Schorlemmer, Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona, Spain
Pavel Shvaiko, Informatica Trentina, Italy
Michael Spranger, Sony Computer Science Laboratories Inc., Tokyo, Japan
Robert van Rooij, ILLC University of Amsterdam, The Netherlands


Dagmar Gromann: dgromann [at]
Kemo Adrian: kemo.adrian [at]
Jérôme Euzenat: Jerome:Euzenat#inria:fr

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