The ESWC industry track shall reflect novel directions, current challenges, and the current state of adoption of semantic technologies in industrial applications. One main objective of this track is to facilitate a discussion between research and industry about the current industry challenges that can be addressed with semantic technologies – to aid researchers at ESWC in their search for real-world problems and motivation for their research, and to give practitioners access to current application-oriented results from the semantic technologies community.
In the ESWC industry track, we strive for an exchange between Semantic Web researchers and industrial solution developers in a broad range of industries (e.g., media, financials, telecommunications, healthcare, life sciences, government, intelligence, public sector, industrial production etc.) and application areas (e.g., business intelligence, smart cities, digital twin, analytics, search, content management, knowledge management, recommendation systems, data integration, automotive etc.).
We welcome contributions about:
- Success stories and failure analyses of the adoption of semantic technologies and knowledge graphs in real-world environments. These should especially emphasize why and how these technologies have succeeded, or failed, in creating value as well as key factors for the success of the adoption in large-scale organizations.
- Contributions about current challenges in industrial fields which we might be able to tackle with semantic technologies, emphasizing solution approaches and existing issues that are currently only insufficiently addressed by Semantic Web research.
Topics of Interest
Come and join us at the ESWC 2021 industry track to share your experience!
Topics of interest include, but are not limited to, the following:
- Development and application of semantic technologies and knowledge graphs for specific industries (automotive, financial, healthcare and life sciences, energy industry, Industry 4.0, public sector, etc.)
- Successful application and challenges of applied semantic technologies (e.g., knowledge management, data integration, data sharing, search, business intelligence, data analytics, open data, enterprise data management, etc.)
- Bridging between machine learning approaches and the Semantic Web (e.g., ML for knowledge graph completion or ontology matching, learning of knowledge graphs and entity embeddings, question answering, etc.)
- Semantic technologies for supporting and enabling interoperable systems across industries (e.g., manufacturing, building automation, etc.)
- Industrial trends related to the usage of Linked Data, Open Data and Semantic Web technologies
- Approaches to bridge between domain experts and semantic technology experts
- Real-world applications of semantic technologies
- Large-scale deployments of semantic technologies
- Semantic technologies for enabling FAIR (meta) data
- Financial and strategic investments in semantic technologies
Successful submissions to this track will emphasize:
- Real-world deployment experiences and strategic decision-making related to semantic technologies
- Success stories from the deployment of semantic technologies
- Challenges encountered when deploying semantic technologies
- Discussion on the scalability of the presented technologies
- Quantitative measurements of the business value created by using semantic technologies and a clear description of the impact in the respective industry, as well as motivation for the need of Semantic Web technologies
- Concrete lessons learned from experiences in areas where further research (or research in novel directions) is required
- Current challenges in industrial applications, for which semantic technologies represent an opportunity for addressing the challenge, including motivation and approaches for the use of semantic technologies
Delineation from other Tracks
The industry track aims at identifying the application domains of semantic technologies that yield a significant business value. Thus it aims at aligning current research efforts with existing real world requirements that justify the adoption of novel approaches in the face of otherwise unfeasible challenges. Therefore contributions to the Industry track can go beyond an analysis of technical challenges in the application of Semantic Technologies for individual use cases, but can describe the current and expected value of the application in a specific industrial domain.
Papers offering a more detailed, technical, and scientifically focused description of a real world application should be submitted to the In Use track, whereas papers focusing more on the achieved or intended value of an industry application are suited for the Industry track.
Emerging applications that are not yet deployed (proofs of concept), as well as vision papers describing future applications should be submitted to the Poster & Demo track.
Reviews will be done by a committee of members from both industry and academia. Reviews will be single blinded. The review criteria include the following:
- Maturity of the implementation and value created to the business
- Degree to which Semantic Technologies play a key role in the experience
- Insights and Lessons Learned for other applications or the research community
- Clarity and quality of the description
Presenters of the industry track at the conference will have the opportunity to:
- Present their work at the main conference
- Discuss their contributions with leading researchers and practitioners
- Access the full conference and benefit from our opportunities for networking
- All publications will be published in the back matter of proceedings, and selected ones will be invited to provide an extended version of 4 pages that will be published in the satellite proceedings.
Industry papers should be submitted as extended abstracts (2 pages, with an additional page for references if needed). Accepted submissions will be offered a slot to be presented in the main track of the conference and will be published in the back matter of the proceedings. Selected papers will be invited to provide an extended version of 4 pages that will be published in the satellite proceedings.
Additional submission guidelines and important dates can be found here.
Simon Mayer, University of St.Gallen
Arne Broering, Siemens AG Corporate Technology