Knowledge Graphs for Data Integration

The workshop is a one-day workshop, organized by the research network, on the subject of Knowledge Graphs and Data Integration. The workshop invites participation from researchers working on these topics from diverse viewpoints, including but not limited to artificial intelligence, databases, knowledge representation, programming languages, and software engineering. The workshop's primary goal is to stimulate exchange of ideas and initiate collaborations among these different research communities.

The workshop is an excellent opportunity to meet up with junior and senior Belgian colleagues working in these fields , and to get informed about the (recent) related research. The workshop typically consists of oral and poster presentations and welcomes also non-Belgian participants (presentations are in English).

Participation is free, but registration is required. We warmly invite participants propose a talk (see submission instructions below).

WHEN?   June 9 2023

WHERE?  Hasselt University, Campus Diepenbeek, Building D, Lecture Hall H3, Belgium

KEYNOTE SPEAKER?  Professor Marcelo Arenas, Pontificia Universidad Católica de Chile

Marcelo Arenas is a Professor at the Department of Computer Science and the Institute for Mathematical and Computational Engineering, at the Pontificia Universidad Católica de Chile. I am a Distinguished Member of the Association for Computing Machinery (ACM), the director of the Millennium Institute for Foundational Research on Data and the former director of the Center for Semantic Web Research. I received a Ph.D. from the University of Toronto in 2005. My research interests are in the areas of data management, applications of logic in computer science and Semantic Web. I have received an IBM Ph.D. Fellowship (2004), a SIGMOD Jim Gray Doctoral Dissertation Award Honorable Mention in 2006 for my Ph.D. dissertation "Design Principles for XML Data", the 2016 Semantic Web Science Association (SWSA) Ten-Year Award for the article "Semantics and Complexity of SPARQL" and nine best paper awards (PODS 2003, PODS 2005, ISWC 2006, ICDT 2010, ESWC 2011, PODS 2011, WWW 2012, ISWC 2014 and PODS 2019). I have served on multiple program committees and editorial boards, and I have chaired the program committees of ICDT 2015, ISWC 2015 and PODS 2018. I have participated as an invited expert in the World Wide Web Consortium (W3C) and the Organisation for Economic Co-operation and Development (OECD). According to Google Scholar, my articles have received 10031 citations, and my h-index is 50.

A logical approach to model interpretability

In recent years, there has been a growing interest in developing methods to explain individual predictions made by machine learning models. This has led to the development of various notions of explanation and scores to justify a model's classification. However, instead of struggling with the increasing number of such notions, one can turn to an old tradition in databases and develop a declarative query language for interpretability tasks, which would allow users to specify and test their own explainability queries. Not surprisingly, logic is a suitable declarative language for this task, as it has a well-understood syntax and semantics, and there are many tools available to study its expressiveness and the complexity of the query evaluation problem. In this talk, we will discuss our work on developing such a logic for model interpretability.

We solicit single-page abstracts of either published work or research in progress. We plan to make a selection of papers that will be presented, as a talk or poster. We invite submissions on all topics related to knowledge graphs and data integration, including but not limited to:

• knowledge graph storage, indexing, and management;
• data integration, data quality, data cleaning, ontologies;
• data mining, machine learning, and information retrieval methods applied on or for knowledge graphs; semantic web technologies;
• performance and scalability of querying graphs and knowledge graphs;
• software engineering for knowledge graph construction;
• experience reports / testimonials on using knowledge graphs for data integration.

In general, we favor presentations by junior researchers. Proposals for presentations should be made before the deadline. Each submission should contain:

• the title of the presentation;
• the name and affiliation of the prospective speaker;
• an abstract of the presentation;
• reference(s) to papers covered by the proposed presentation.

The format is a one-page pdf-document, should be according to this template, and submitted to: https://cmt3.research.microsoft.com/KG4DI2023. There are no printed proceedings. Accepted abstracts will be published on the KG4DI website and will be presented at the workshop.

Abstract submission Deadline: 5 May 2023

Notification of Acceptance: 15 May 2023

Registration Deadline: 19 May 2023

Registrations are free but compulsory! Registrations are closed!

Registration deadline: 19 May 2023.

The 1-day workshop will take place at Hasselt University, Campus Diepenbeek, Building D, Lecture Hall H3, Agoralaan, 3590 Diepenbeek, Belgium.

Welcome and registration will take place at the Agora of Building D of Hasselt University

Coffee breaks and lunches will take place at the Wintergarden of Hasselt University.

You can find tourist info at: https://www.visithasselt.be/en

Some hotels in Hasselt:

Holiday Inn Express

Thonissenlaan 37, 3500 Hasselt

Yup Hotel

Thonissenlaan 52, 3500 Hasselt