Event

We are happy to contribute to the 20th SEMANTiCs Conference im Amsterdam with a tutorial about Product Ontologies.

Tutorial: Modeling Product Ontologies for Industrial KG Applications
Speaker: Dr. Martin Ley and Maximilian Gärber, PANTOPIX
Date: Tuesday, September 17 2024

The main purpose of many industrial KG applications is providing the right information to the right person at the right time. From an information point of view (i. e. with respect to information units and information types,) this goal is supported by iiRDS, the intelligent information request and delivery standard. However, information is not “free floating”, but typically and necessarily related to a specific product or a specific component of a product. Nonetheless, there seems to be no common understanding of how knowledge about a product is represented, iiRDS itself only offers so-called “docking points”. This typically leads to highly specialized, customized, and even co-existing representations of the product domain, making data-interoperability an even greater task. The goal of this workshop is to discuss existing approaches to product ontology modeling from various perspectives such as iiRDS, Asset Administration Shell, custom ontologies and/or eClass. The participants aim at identifying agreement and/or deviation of existing approaches and ideally seek developing the framework for a common approach to the modeling of product ontologies.

This workshop is tailored for professionals, researchers, and
practitioners involved in industrial knowledge graph (KG) applications,
particularly those concerned with information retrieval and delivery within product-centric contexts.

Importance of Product Ontologies

Product ontologies are crucial in the context of knowledge graphs due to their role in structuring and standardizing product-related information. By defining common terms and relationships among products and their attributes, ontologies provide a foundational structure for organizing data within a knowledge graph. This structured representation facilitates the integration of diverse sources of product data, enabling more comprehensive and accurate knowledge graphs. Additionally, product ontologies help enhance the semantic richness of knowledge graphs by capturing the meaning and context associated with different product concepts. As a result, knowledge graphs powered by product ontologies can support advanced capabilities such as semantic search, recommendation systems, and data analytics, ultimately leading to better insights and decision-making in various domains.

Expected Learning Outcomes

Overall, this workshop aims to foster collaboration and collective problem-solving among participants to address the challenges of product ontology modeling and drive advancements in industrial knowledge graph applications. By bringing together diverse perspectives and expertise, the workshop seeks to lay the groundwork for a more standardized and interoperable approach to representing product knowledge within knowledge graph ecosystems.

Participants in this workshop can expect to achieve the following outcomes:

• Comprehensive understanding of the challenges and opportunities associated with product ontology modeling in industrial knowledge graph applications
• Familiarity with existing standards and frameworks for product ontology modeling, including iiRDS, Asset Administration Shell, custom ontologies, and eClass
• Insight into the strengths, limitations, and potential synergies of different approaches to product ontology modeling, as applied within various industrial contexts
• Hands-on experience with practical techniques and methodologies for developing and implementing product ontologies, including best practices for semantic modeling and alignment with existing standards
• Collaboration and knowledge sharing among participants to identify common ground and potential areas for convergence in product ontology modeling