- From: CHAVES FRAGA DAVID <david.chaves@usc.es>
- Date: Fri, 22 Dec 2023 17:50:12 +0000
- To: Semantic Web <semantic-web@w3.org>
- Message-ID: <CC45CDBD-D12E-4BFC-8D9D-8D5B5923C806@usc.es>
Fifth International Workshop (& Challenge) on Knowledge Graph Construction
(#KGCW2024) in conjunction with ESWC2024 [https://2024.eswc-conferences.org/]
**************************************************************
Workshop website: https://w3id.org/kg-construct/workshop/2024
Challenge website: https://w3id.org/kg-construct/workshop/2024/challenge
Workshop date: 26/27th May 2024
Paper Submission:
* Abstracts (optional but recommended): 29th February 2024
* Full papers: 7th March 2024 (AoE time)
Challenge Submission:
* Expression of Interest: 31st January 2024
* Results: 30th April 2024
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KGCW is a full-day workshop on Knowledge Graph construction co-located with the Extended Semantic Web Conference 2024 (ESWC2024<https://2024.eswc-conferences.org/>). KGCW has a special focus this time on novel techniques, frameworks, architectures, and tools for the new extensions of RML such as RDF Collections and Containers, Transformation Functions, and RDF-Star support and the newest version of the RDF Mapping Language (RML) in general. 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 CG on KG construction<https://www.w3.org/community/kg-construct/>.
The Second Knowledge Graph Construction Challenge
----------------
This year we have prepared the second edition of the challenge on KG construction<https://w3id.org/kg-construct/workshop/2024/#challenge> to compare and measure the performance of different engines beyond execution time, as well as the conformance to the new RML specification<http://w3id.org/rml/portal> for those engines implementing RML
Any engine able to transform heterogeneous data into RDF graphs is welcome to submit its results. All information will be available soon but if you already have any questions, please join us on Slack<https://join.slack.com/t/kg-construct/shared_invite/zt-1ftm8ebvo-qtu4xC_psKBZrgqF8ZPMtw>.
Special Issue on Knowledge Graph Construction in the Semantic Web Journal
----------------
The best-accepted papers will be invited to submit an extended version to the special issue in the Semantic Web Journal on Knowledge Graph Construction, you can find more info at: https://www.semantic-web-journal.net/blog/special-issue-knowledge-graph-construction
Topics of interest
-------------------------
* Automatization of knowledge graph construction from (semi)structured data:
* Semantic data labeling methods into declarative KG construction approaches
* (Semi)automated mappings generation
* Explainable automated knowledge graph generation
* Mapping based Knowledge Graph Construction
* Mapping languages for constructing Knowledge Graph from legacy datasets
* End-User Interfaces (UI) for (collaborative) editing and visualizing Knowledge Graphs building rules and management platforms in general
* Approaches and techniques on
* Collaborative mappings generation
* Exploiting mappings for query answering
* Tools for Knowledge Graph Construction
* Architectures for Knowledge Graph construction systems
* (Sustainable) workflows for Knowledge Graph construction & publishing
* Methods and Techniques for Knowledge Graph Construction
* Seamless (distributed) integration/interlinking from heterogeneous data
* Dynamic discovery and retrieval of data for KG construction
* Quality, Provenance, privacy, and trustworthiness of KG construction
* Knowledge Graph construction and publishing of streaming data
* Benchmarks for Knowledge Graphs construction and publishing
* Lessons learnt, In Use and Experience
* Experience, lessons learnt, and best practices for generating and publishing
* Negative results and in-use/applied descriptions
Submission guidelines
---------------------------------
Share your contribution before the deadline through the OpenReview platform<https://openreview.net/group?id=eswc-conferences.org/ESWC/2024/Workshop/KGCW>. The accepted contributions will be published in the proceedings of the workshop. Each accepted paper needs to be presented by one of the authors at the workshop onsite.
Contributions for the challenge only require to have an abstract submitted through the OpenReview platform<https://openreview.net/group?id=eswc-conferences.org/ESWC/2024/Workshop/KGCW>. The results must be submitted as well, and presented at the workshop. Optionally, a report can be submitted after the workshop and it will appear within the proceedings of the workshop.
Contributions
--------------------
* Full (12-15 pages) or short (5-8 pages) research papers, in general, or related to:
* Addressing issues identified by the W3C CG on KG construction
* Providing solutions for alignments between mapping languages
* Providing innovative and reproducible workflows for knowledge graph construction
* Automatization of KG construction (e.g., SemTab challenge approaches, LLMS)
* New techniques and approaches for the new RML version.
* In Use and Experience papers (12-15 pages), as well as demo papers (4-6 pages)
* Challenge papers (6-8 pages)
* Position and Vision papers (4-6 pages)
* Abstracts of relevant to the aforementioned topics journal papers (2-4 pages)
Format
----------
Authors can choose the best way to express their work, such as HTML or PDF. However, a CEUR layout <https://ceurws.wordpress.com/2020/03/31/ceurws-publishes-ceurart-paper-style/> has to be provided.
Important dates
-----------------------
Paper Submission: 7th March 2024 (AoE time)
Acceptance Notification: 4th April 2024
Camera-ready Version: 18th April 2024
Workshop: 26th May 2024
Organising Committee
--------------------------------
David Chaves-Fraga, USC (contact person: david.chaves@usc.es<mailto:david.chaves@usc.es>)
Anastasia Dimou, KU Leuven
Umutcan Serles, University of Innsbruck
Ana Iglesias-Molina, UPM
Dylan Van Assche, UGent
More news at: https://twitter.com/kgc_workshop
David Chaves-Fraga
Assistant Professor
Escola Técnica Superior de Enxeñaría
Grupo de Sistemas Intelixentes<https://investigacion.usc.gal/grupos/4637/detalle>
Universidade De Santiago de Compostela
Rúa Lope Gómez de Marzoa, S/N.
15782, Santiago de Compostela, SPAIN
✉ david.chaves@u<mailto:david.chaves@upm.es>sc.es
davidchavesfraga.com<http://davidchavesfraga.com>
27th European Conference on Artificial Intelligence<https://ecai2024.eu/>
Santiago de Compostela, 19-24 October 2024
Received on Friday, 22 December 2023 17:51:35 UTC