Review Comment:
The paper presents a cross-domain view on the topic of semantic technologies for Cyber-Physical Systems (CPS).
These complex systems are being built by a tight integration of components in the physical space (e.g., sensors) with advanced software in the cyber-space.
The authors claim that Semantic Web technologies have been mostly applied within particular domains so far, and they take a cross-domain perspective by synthesizing their experiences of using Semantic Web technologies during the engineering and operation of CPS in smart manufacturing, smart buildings and smart grids.
The aspect of heterogeneous data integration is the most stressed in the paper.
The paper is a solid piece of work, providing an overview of CPS in the discussed domains, the use of semantic technologies for CPS, together with examples of applications, use cases, advantages and short-term and long-term research challenges.
Below I provide some remarks related to selected sections:
**** Section 2 ***
This section mostly describes domains and challenges of handling heterogenous, complex data and knowledge, with mostly just mentions on semantic technologies.
Here I lack the definition of what a "digital twin" is - this may be not that obvious for a reader who is not knowledgeable in the manufacturing domain.
It would be also interesting to know more on how Semantic Web technologies are used for digital twins. Maybe even to give an example?
**** Section 3 ***
This section presents use cases in CPS amenable to the use of Semantic Web Technologies.
It also gathers referenced uses of Semantic Web technologies within particular use cases.
The use cases are sometimes broad (which is understandable for a position paper). Some are not directly related specifically to the Semantic Web or semantic technologies (e.g., Maintenance and Replacement Engineering, Adaptation through optimization and reconfiguration), though the use of advanced knowledge and markup languages hints possible applications.
Overall, this is a well written paper, which has plenty of valuable, dense content on the topic.
Therefore I would recommend to accept the paper.
However, there is a potential problem: the paper is 3 pages too long and, to the best of my knowledge, the limit is 8 pages. If the paper is supposed to be shortened, then probably Section 2 might be shortened, as it is not always directly related to the Semantic Web, probably also Section 3 (though this would be a non-easy task, regarding the dense content).
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