OK4I - Ontologies and Knowledge Graphs for Industry | OK4I | Description

Workshop description

Although semantic technologies have made significant advances in the last years, adoption within the organizations remains a key challenge in industry. The goal of this workshop is to foster exchange on key challenges for adoption, and solutions to overcome them. We are interested not only in concrete use cases based on knowledge graphs and ontologies and how they are embedded in the overall enterprise environment, but also in visionary proposals how recent improvements in the area of semantic technologies and generative AI can help improve data integration and management, knowledge discovery, and AI use cases. OKCAS welcomes contributions describing positive as well as negative results, coming from small or large companies as well as academic partners. Across all submissions, emphasis should be put on demonstrating the business value and impact (intended to be) created by using knowledge graphs and semantic technologies to address industry problems. Questions addressed by OK41
  • How are KGs and ontologies being adopted? What are industry examples of implementations of these technologies, and what did you do to ensure success?
  • What are the main difficulties when using KGs and ontologies? What are examples of failed adoption, and which lessons have you learnt on this journey?
  • Ontologies and KGs in manufacturing, supply chain management, PLM, logistics, procurement, etc.
  • Ontologies supporting CAD interoperability and feature extraction; towards smart CAD environments.
  • KGs and ontology generation from textual data
  • How are KGs and ontologies being used in combination with LLMs?
  • How is AI (e.g. LLMs) being used to do KGs and ontology enrichment?
  • Where are KGs and ontologies in the Data Mesh, data contracts? How are ontologies and KGs a part of modern data architectures?
  • Practical cases of successful and unsuccessful application of ontologies and KG technologies in application domains such as: financial, biomedical, e-business, engineering, law enforcement, document management, government, legislative systems.
  • How are KGs and ontologies helping the realization of FAIR data?

Target audience


Industry practitioners, academic researchers and data managers, students.
Full day workshop
OK4I will have a Call for Papers (CfP); selected papers will be presented and then an open round table discussion will follow. We will also have a keynote speaker for the afternoon session; contacts have already been established and we expect to have confirmation once this workshop proposal has been accepted. The last part of the afternoon session will start with a series of shorts (30 seconds, one slide) challenging statements that will then be openly discussed.

Important dates