Workshop Overview

Data centricity plays a fundamental role in defining new and disruptive business models. Many organizations in public and private sectors have successfully adopted information technologies to build huge repositories of data that they can analyze to support decision-making and gain a competitive advantage. However, despite the paramount relevance of data-driven technologies, organizations demand alliance-driven infrastructures capable of supporting controlled data exchange across diverse stakeholders and transparent data management. Data ecosystems (DEs) are the future of data management, since they allow organizations to share data and collaborate to get valuable insights. Endeavours, such as the European Health Data Space, and projects, such as the International Data Spaces (IDS), demonstrate the importance of data ecosystems for diverse domains. However, the benefits of data exchange can only be achieved with a holistic approach for generating and sharing knowledge. Thus, DEs aim to solve issues like managing unstructured and heterogeneous data, offering various data-centric services, including query processing and data analytics, exchanging and integrating data while preserving data privacy, data security, and data sovereignty. Hence, implementing a data ecosystem imposes tremendous challenges regarding, amongst others, data management, data quality, trust, data exchange, data integration, machine learning, interoperability, and knowledge-based systems. Additionally, there is a huge potential in applying new methods from generative AI, which can show new directions of solving the above challenges in an efficient way. In this workshop, we welcome innovative contributions that further the idea of data ecosystems and tackle the challenges resulting from the complexity of data ecosystems.


Keynote - tbd

Prof. Dr. Stefan Decker (RWTH Aachen University, Fraunhofer FIT)

Prof. Dr. Stefan Decker
Short Biography
Prof. Dr. Stefan Decker is Professor of Databases and Information Systems at RWTH Aachen University and Managing Director of the Fraunhofer Institute for Applied Information Technology in Birlinghoven. Previously, he was Professor of Digital Enterprise at the National University of Ireland, Galway, Director of the Digital Enterprise Research Institute (DERI) and the Insight Center in Galway, Ireland, Research Assistant Professor at the Information Sciences Institute of the University of Southern California, USA, and held research positions at Stanford University and the University of Karlsruhe (now KIT). He is an elected member of the Royal Irish Academy and a Fellow of Engineers Ireland. Since 1998 he has been working with linked data and semantic web technology. His current research interests include knowledge representation and data modeling, research data management, and applications for linked data technologies. More information on Prof. Decker's publications can be found at http://www.stefandecker.org/ and at Google Scholar.

Important Dates

  

Submission Date      31.05.2024, GMT
Notification      30.06.2024, GMT
Workshop Date      25.08.2024, GMT



Topics of interest

The suggested topics of interest include, but are not restricted to:

Paper Submission

  

We welcome innovative, original, unpublished papers, that fall under the following two categories:

Papers must be submitted over the EasyChair conference system using the following link: https://easychair.org/conferences/?conf=deco24
It is expected, that papers are formatted according to the VLDB formatting guidelines, which you can find here https://vldb.org/pvldb/volumes/17/formatting

At least one author of every accepted paper, is expected to attend the workshop and give an oral presentation.

Selected papers of the workshop will be invited to submit an extended version to a special issue on Data Ecosystems.

Participation

At least one author of every accepted paper, is expected to attend the workshop and give an oral presentation.
The workshop will be held in Guangzhou, China (and online). We will conduct the workshop as a hybrid event. Hence, presenters and participants may participate in-person or remotely.

Diversity Statement

  

We believe that research and innovation is enriched and furthered by a multitude of perspectives. Hence, we want to create an inclusive, respectful workshop environment, in accordance to the VLDBCares principles. We invite the participation from persons independent of their age, education, ethnicity, gender, national origin, race, religion, sexual orientation, physical ability, and physical appearance.

Workshop Chair

Program Committee