[CFP] Third International ISWC Workshop on Semantic Industrial Information Modelling (SemIIM) - Deadline August 8
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Ernesto Jimenez-Ruiz
Jul 23, 2024, 5:28:03 AM7/23/24
to dist...@lcc.uma.es, Description Logic, public-sem...@w3.org, OWL, semant...@w3.org, semant...@googlegroups.com, public...@w3.org, ontol...@googlegroups.com
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SemIIM 2024: 3rd International ISWC Workshop on Semantic Industrial Information Modelling ****
Co-located with the International Semantic Web Conference (ISWC 2024) - Nov 11, 2024 - Nov 15, 2024, Baltimore, USA
https://sites.google.com/view/semiim-2024
INTRODUCTION
Information Modelling (IM) has been under the spotlight of both academia and industry for decades. Important aspects of IM include methods and practices of representing concepts, relationships, constraints, rules and operations to specify data semantics for a chosen domain of interest. As a response to the IM challenge a number of modelling paradigms and languages arose and they range from ERM, UML, ORM to OWL and Knowledge Graphs and come with a wide range of systems to support the life cycle of information models.
Despite the past success, existing approaches and systems for IM fail to cope with new challenges of overwhelming global industrial digitalization that requires advanced information models and aims at fully computerized, software-driven, automation of production processes and enterprise-wide integration of software components. Such trend and the technological and industrial developments that come with it are an important part of Industry 4.0 and industrial Internet of Things. It requires IM that, for example, allows to capture the functionality of and information flow between different assets in a plant, such as equipment and production processes. Moreover, it requires IM and models that are based on ISA and IEC standards and have a number of desirable properties, e.g., reusable, explainable, scalable, simulatable etc. Such IM should allow for seamless data sharing and integration e.g., via data market places and across value chains.
These new challenges require new theory, methodology, best practice, systems and this should be developed, shared, and discussed by a wire range of stakeholders. In this workshop we aim at gathering researchers and practitioners who work on addressing these challenges with the help of semantic technologies. We in particular invite IM experts who are excited and committed to push the frontiers of IM further and support modern industry in its current technological transformation. In our workshop we welcome novel methods, systems, solutions, experience, and practice for semantic industrial information modelling.
TOPICS
The topics of interest of our workshop include but are not limited to the following:
- New concepts, languages, theories and methods for semantic information modelling
- Tooling, applications, experience and best industry practice in energy, manufacturing, logistics, etc.
- Ontology engineering for industry
- Combination of semantic IM with machine learning
- Semantics IM and ethics, privacy, security, trust, etc
- Explainability, usability, scalability of semantic IM
- Exploration, simulation, visualisation of semantic information modelks
- Tools to support life cycle of industrial information models
- Lessons learned or/and use cases around semantic information models
GUIDELINES:
- Submissions must be in PDF, written in English, formatted in the one-column style of the CEUR-WS format. An Overleaf page for LaTeX users is available at https://www.overleaf.com/read/gwhxnqcghhdt. You can also download an offline version with the style files from http://ceur-ws.org/Vol-XXX/CEURART.zip.
- Full research papers (8-12 pages)
- Papers presenting negative results (8-12 pages)
- In Use and experience papers (8-12 pages)
- Position and vision papers (4-8 pages)
- Short research papers (4-8 pages)
- System/demo/in practice papers (4-8 pages)
- Industrial statement papers (2 pages)
- References do not count towards the page restriction.
IMPORTANT DATES
Abstract Submission: 31 July 2024
Submission: 8 August 2024
Notifications: 4 September 2024
Early Registration: 11 September, 2024
Camera Ready: 25 September 2024
ORGANISERS:
- Eduard Kamburjan, University of Oslo, Norway
- Arild Waaler, University of Oslo, Norway
- Baifan Zhou, Oslo Metropolitan University / University of Oslo, Norway
- Ernesto Jiménez-Ruiz, University of London, United Kingdom
--
Co-located with the International Semantic Web Conference (ISWC 2024) - Nov 11, 2024 - Nov 15, 2024, Baltimore, USA
https://sites.google.com/view/semiim-2024
INTRODUCTION
Information Modelling (IM) has been under the spotlight of both academia and industry for decades. Important aspects of IM include methods and practices of representing concepts, relationships, constraints, rules and operations to specify data semantics for a chosen domain of interest. As a response to the IM challenge a number of modelling paradigms and languages arose and they range from ERM, UML, ORM to OWL and Knowledge Graphs and come with a wide range of systems to support the life cycle of information models.
Despite the past success, existing approaches and systems for IM fail to cope with new challenges of overwhelming global industrial digitalization that requires advanced information models and aims at fully computerized, software-driven, automation of production processes and enterprise-wide integration of software components. Such trend and the technological and industrial developments that come with it are an important part of Industry 4.0 and industrial Internet of Things. It requires IM that, for example, allows to capture the functionality of and information flow between different assets in a plant, such as equipment and production processes. Moreover, it requires IM and models that are based on ISA and IEC standards and have a number of desirable properties, e.g., reusable, explainable, scalable, simulatable etc. Such IM should allow for seamless data sharing and integration e.g., via data market places and across value chains.
These new challenges require new theory, methodology, best practice, systems and this should be developed, shared, and discussed by a wire range of stakeholders. In this workshop we aim at gathering researchers and practitioners who work on addressing these challenges with the help of semantic technologies. We in particular invite IM experts who are excited and committed to push the frontiers of IM further and support modern industry in its current technological transformation. In our workshop we welcome novel methods, systems, solutions, experience, and practice for semantic industrial information modelling.
TOPICS
The topics of interest of our workshop include but are not limited to the following:
- New concepts, languages, theories and methods for semantic information modelling
- Tooling, applications, experience and best industry practice in energy, manufacturing, logistics, etc.
- Ontology engineering for industry
- Combination of semantic IM with machine learning
- Semantics IM and ethics, privacy, security, trust, etc
- Explainability, usability, scalability of semantic IM
- Exploration, simulation, visualisation of semantic information modelks
- Tools to support life cycle of industrial information models
- Lessons learned or/and use cases around semantic information models
GUIDELINES:
- Submissions must be in PDF, written in English, formatted in the one-column style of the CEUR-WS format. An Overleaf page for LaTeX users is available at https://www.overleaf.com/read/gwhxnqcghhdt. You can also download an offline version with the style files from http://ceur-ws.org/Vol-XXX/CEURART.zip.
- Full research papers (8-12 pages)
- Papers presenting negative results (8-12 pages)
- In Use and experience papers (8-12 pages)
- Position and vision papers (4-8 pages)
- Short research papers (4-8 pages)
- System/demo/in practice papers (4-8 pages)
- Industrial statement papers (2 pages)
- References do not count towards the page restriction.
IMPORTANT DATES
Abstract Submission: 31 July 2024
Submission: 8 August 2024
Notifications: 4 September 2024
Early Registration: 11 September, 2024
Camera Ready: 25 September 2024
ORGANISERS:
- Eduard Kamburjan, University of Oslo, Norway
- Arild Waaler, University of Oslo, Norway
- Baifan Zhou, Oslo Metropolitan University / University of Oslo, Norway
- Ernesto Jiménez-Ruiz, University of London, United Kingdom
Ernesto Jiménez-Ruiz
Lecturer in Artificial Intelligence
Lecturer in Artificial Intelligence
Department of Computer Science
School of Science & Technology
City, University of London
City, University of London
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