This workshop will take place at the 3rd Joint Ontology Workshop (JOWO) in Bolzano between 21-23 September 2017Photo by Luca Volpi under CC licence
Proceedings are now online!
This first Workshop on Interaction-Based Knowledge Sharing (WINKS) 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.