=Paper=
{{Paper
|id=Vol-3759/workshop2
|storemode=property
|title=First International Workshop on Scaling Knowledge Graphs for Industry: Summary
|pdfUrl=https://ceur-ws.org/Vol-3759/workshop2.pdf
|volume=Vol-3759
|authors=Michael Cochez,Evgeny Kharlamov,Radu Prodan
|dblpUrl=https://dblp.org/rec/conf/i-semantics/CochezKP24
}}
==First International Workshop on Scaling Knowledge Graphs for Industry: Summary==
<pdf width="1500px">https://ceur-ws.org/Vol-3759/workshop2.pdf</pdf>
<pre>
                         First International Workshop on Scaling Knowledge
                         Graphs for Industry: Summary
                         Michael Cochez1 , Evgeny Kharlamov2,3 and Radu Prodan4
                         1
                           Vrije Universiteit, Amsterdam, Netherlands
                         2
                           Bosch Center for Artificial Intelligence, Germany
                         3
                           University of Oslo, Norway
                         4
                           Alpen-Adria-University Klagenfurt, Austria


                                      Abstract
                                      This is a summary of the First International Workshop on Scaling Knowledge Graphs for Industry co-located
                                      with the 20th International Conference on Semantic Systems (SEMANTICS)




                         Summary
                         Knowledge Graphs have been used in industrial settings for many years – for data integration or/and
                         storage, democratization of data-access, easy data-exchange, information retrieval tasks, etc. However,
                         we identify the lack of scalable solutions as the main blocker for uptake in more use cases.
                            The goal of the workshop is to foster discussion on making knowledge graph systems work at
                         industrial scale. We explicitly do not limit this discussion to how much data we can store and query
                         (this is already pretty much working), but we would also like to address other scalability aspects such
                         as knowledge modelling (scaling the design of KGs or ontologies), processing, streaming, and ingestion
                         of large amounts of information into a knowledge graph systems.
                            We invited to join our workshop a wide audience of Knowledge Graph practitioners and researchers
                         who would like to discuss what is the state of the art with KG adoption, what hampers it, what industries
                         are more natural for KGs and why, and what we can do to further promote the scaling of KGs in industry.
                            The workshop has been co-organised by GraphMassiviser (GA 101093202) and enRichMyData (GA
                         101093202) EU projects since the scalability is in the heart of them: the latter looks into the scalable
                         data annotation pipelines and the former into scalable processing of massive data.
                            The workshop took one day and its program consisted of 4 parts: talks of accepted papers and
                         invited talks, a keynote, a panel and a presentation from two European projects GraphMassiviser and
                         enRichMyData. The speakers were from all around the world: Europe, USA, Australia. The keynote talk
                         was given by Felix Sasaki, Chief Expert for KG and Semantic Technology at SAP, who elaborated on
                         Knowledge Graphs for Business AI. The panel consisted of several industry representatives including
                         Alon Halevy from Amazon, Thomas Kaminski from Metaphacts and Felix Sasaki from SAP and it
                         was moderated by co-organizers Evgeny Kharlamov and Michael Cochez. The talks were given by
                         representatives from academic and industrial institutions including Triples, Bosch Center for AI, Deloitte,
                         Ontotext, University of Klagenfurt.
                            The main take away message is that the topic of scalability is under a strong spot light, we are
                         in the times where the new technology enables scaling Knowledge Graphs to industry needs while
                         technological barriers still in place. The workshop was a success and we are looking forward for the
                         second edition of it.
                            The website of the workshop is: https://sites.google.com/view/skgi



                          First International Workshop on Scaling Knowledge Graphs for Industry, co-located with 20th International Conference on Semantic
                          Systems (SEMANTICS) - Amsterdam, Sept. 17–19, 2024
                          $ m.cochez@vu.nl (M. Cochez); evgeny.kharlamov@de.bosch.com (E. Kharlamov); radu.prodan@aau.at (R. Prodan)
                                     © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).


CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings

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