Semantic Industries Community Group
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Semantic Industries Community Group
This group was closed on 2023-12-12.
This Community Group brings together people from research and industry who are interested in semantic modelling. Researchers are interested in understanding the actual needs of industrial partners, gathering use cases and example data, and clarifying the challenges that further research can help address, as well as refining the methodologies for developing semantic based solutions. Industrial partners are interested in having clear benefits for adopting semantic technologies in relation to the digital transformation of industry. How can these benefits be realised by average developers using higher level frameworks and better tooling. The W3C Community Group will make extensive use of the GitHub issue tracker to raise and discuss ideas, and to prepare W3C Community Group reports with our findings.
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Date
Name
2022-07-08
Semantic Industries: Kickoff Meeting July 2022
Kick-off Meeting Report (July 2022)
Javad Chamanara
Posted on:
July 8, 2022
The first kickoff meeting of the Semantic Industry (SemInd) W3C Community Group was held on July 1st, 2022 as an online meeting. Javad Chamanara opened the meeting by summarizing the history and the roots of the group and its current status. Then the three attendees introduced themself: Javad Chamanara L3S, Leibniz University of Hannover Germany, Felix Angel TIB Germany, and Abdelhak Khemiri EMSE France.
First
Javad Chamanara
gave an introduction to the purpose and goals of the group and delivered a talk explaining what does semantic industry mean, how it is accomplished and what are its potential impacts. Javad suggested making industrial systems “FAIR”, similar but not identical to the FAIR principles in data domains. The letters F, A, I, and R which stand for Findability, Accessibility, Interoperability, and Reusability are suggested to have customized (adapted) meanings to be applicable to industrial elements such as sensors, actuators, machines, product lines, and even products. For example, a temperature sensor should be able to explain its range, its unit of measurement, its error rate at each temperature, and its response time, when queried by a heat pump, an oil injection nuzzle, or a rotating furnace. Elements (similar to Assets in the RAMI model) should also be accessible to their neighbors, upper elements, and potentially to remote controllers so that they can interact and ask them to perform actions. In the automotive industry as an example, the HVAC may want to know the window positions of all of the passengers to optimize the airflow, or even to trigger the window controllers to pull up. For this purpose, the HVAC should be able to find, access, and interact with the window controllers! A water pump may expose its temperature-dependent capacity, e.g., 1000 l/h at 80°C and 800 l/h at 90°C. This information may be used by the cooling mechanism to optimize the system for constant flow, constant energy, constant temperature, or any other objective. and last but not least, Javad explained reusability as a means of replaceability using the semantic information of a device. In another word, a device is reusable if it can be replaced with another device, based on their semantic equivalence! This needs to semantically describe the structural, behavioral, configuration, and execution aspects of those elements.
Javad suggested using the RAMI model as the reference, as it provides an extensible multi-dimensional model than can describe Assets and their lifecycles from different perspectives and levels of granularity.
Afterward,
Felix Engel
presented the
Digital Reference Ontology
(DRO) and explained how it has been employed in the field of supply chain management for the semiconductor industry in the context of the EU-funded SC3 project. An interesting point in the use-case that Felix explained is the definition of
product
among participants of a supply chain, which can be a starting point to define it for various RAMI
Asset
levels. He also suggested that the DRO can be an initial attempt for integration with RAMI as well as an early effort for standardization.
The group decided to utilize the RAMI model as the reference model and enhance it with ontologies for every layer. The plan set for the first year is to identify, select, and introduce robust ontologies for the
Asset
layer.
The kickoff meeting was recorded and published on
Call for Participation in Semantic Industries Community Group
W3C Team
Posted on:
June 11, 2019
The
Semantic Industries Community Group
has been launched:
This Community Group brings together people from research and industry who are interested in semantic modelling. Researchers are interested in understanding the actual needs of industrial partners, gathering use cases and example data, and clarifying the challenges that further research can help address, as well as refining the methodologies for developing semantic based solutions. Industrial partners are interested in having clear benefits for adopting semantic technologies in relation to the digital transformation of industry. How can these benefits be realised by average developers using higher level frameworks and better tooling. The W3C Community Group will make extensive use of the GitHub issue tracker to raise and discuss ideas, and to prepare W3C Community Group reports with our findings.
In order to
join the group
, you will need a
W3C account
. Please note, however, that
W3C Membership
is not required to join a Community Group.
This is a community initiative. This group was originally proposed on 2019-05-24 by Dave Raggett. The following people supported its creation: Javad Chamanara, Melinda Hodkiewicz, Gerard Coen, Bob van Luijt, Boris Shalumov, Dave Raggett. W3C’s hosting of this group does not imply endorsement of the activities.
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Group closed
This group was closed on 2023-12-12
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