Organizers
Anastasia Dimou
Assistant Professor, KU Leuven
David Chaves Fraga
Senior Researcher, KU Leuven & UPM
Umutcan Şimşek
Postdoctoral Researcher, STI Innsbruck
Dylan Van Assche
PhD Student, imec - IDLab (UGent)
More and more knowledge graphs (KGs) are constructed for private use, e.g., Google, or public use, e.g. DBpedia, Wikidata. While many solutions were proposed to construct KGs from existing data on the Web, there is still no systematic evaluation to compare the performance and resource usage of the different systems independently of the mapping language they use or the way they construct the knowledge graph (materialization or virtualization). Addressing the challenges related to KG construction requires both the investigation of theoretical concepts and the development of systems and methods for their evaluation.
The Knowledge Graph Construction Workshop (KGCW) 2023 has a special focus on the efficiency of the systems during the construction of knowledge graphs, exploring the trade-offs between different approaches (e.g., planification VS physical operators).
The workshop includes a keynote and a panel, as well as (research, in-use, experience, position, tools) paper presentations, demo jam and break-out discussions. In particular this year, we aim to provide an evaluation setup to the workshop participants to compare the different tools for KG construction.
Our goal is to provide a venue for scientific discourse, systematic analysis, and rigorous evaluation of languages, techniques, and tools, as well as practical and applied experiences and lessons-learned for constructing knowledge graphs from academia and industry. The workshop complements and aligns with the activities of the W3C Community Group on KG construction.
Authors can choose the best way to express their work, such as HTML or PDF. However, a CEUR layout must be provided. If your contribution will be in HTML, you can find some available tools in the ESWC23 HTML guideline.
Please, share your contribution before the deadline through the OpenReview platform. The accepted contributions will be published in the proceedings of the workshop through CEUR-WS. Each accepted paper needs to be presented by one of the authors at the workshop (virtual presentations are not allowed).
Knowledge graph construction of heterogeneous data has seen a lot of uptake in the last decade from compliance to performance optimizations with respect to execution time. Besides execution time as metric for comparing knowledge graph construction, other metrics e.g. CPU or memory usage are not considered. This challenge aims at benchmarking systems to find which RDF graph construction system optimizes for metrics e.g. execution time, CPU, memory usage, or a combination of these metrics.
All details regarding the challenge can be found in this link
At least one author of each tool needs to present the results during the workshop
(virtual presentations are not allowed)
Program coming soon
Submit your abstract (optional but recommended)
Submit your paper
The notification and reviews from our Program Committee will be available.
Time to have your paper ready for being published. All the accepted paper will be published in the proceedings.
Keynote, papers presentations, and a lot of discussion. Remember! If your contribution is accepted, it needs to be presented by one of the authors at the event.
| Year | Location | Proceedings | Website |
|---|---|---|---|
| 2019 | ESWC - Portorož (Slovenia) | http://ceur-ws.org/Vol-2489 | https://w3id.org/kg-construct/workshop/2019 |
| 2021 | ESWC - Online | http://ceur-ws.org/Vol-2873 | https://w3id.org/kg-construct/workshop/2021 |
| 2022 | ESWC - Hersonissos (Greece) | https://ceur-ws.org/Vol-3141 | https://w3id.org/kg-construct/workshop/2022 |