Review Comment:
The paper presents two contributions related to semantic services visualizations OntoPiA and OntoNetHub.
The authors rarely put their solution face to face with the current State-ot-the-art dashboards. P
ictures, while interesting, are rather too small or not really well-annotated and do not really help clarify the contribution.
The Related Work section misses a lot of interesting papers.
First of all, The ommision of many Linked Data Visualization papers from the 2017 Special Issue from Semantic Web
makes me question the validity of this submission to the SWJ. In the end when you are targeting a paper to a certain conference and journal,
you do so because similar papers were published there to begin with. I would have expected them to at least mention the survey paper
Aba-Sah Dadzie, Emmanuel Pietriga. Visualisation of Linked Data – Reprise. Semantic Web, Volume 8, Number 1 / 2017, pp. 1-21.
A second serious omission is the fact that Linked Data Platforms are not mentioned at all,
and some of them do have strong visualization components (e.g., ELDA).
A third omission would be the failure to understand some current trends in visualization in general, namely the fact that
we are now slowly moving into design space exploration and parameterized visualizations due to the rise of Data Science
and Deep Learning movements (both related to the data deluge we experienced in the last 10 years).
This means that at least some papers about these trends should have been included.
The whole section 3, which was supposed to describe an important part of their innovation (the OntoPIA tool), reads like an extended summary
instead of a large descriptive section. Perhaps due to the fact that often the authors simply mention lots of developments
in passing, without taking the time to properly explain why it was important to design the things that way.
For example, Figure 1 all but hides the role of semantics in this framework. Why?
Another example,
The microservices layer is described in the previous study [38]. [and several sentences that follow after it]
Nobody can reasonably expect most of the readers to actually go and read previous papers. The best bet, if this layer is truly important,
is to offer an executive summary of that paper (somewhat longer than your description).
Next two pages are somewhat better written, but Figure 2 definitely needs to be improved as it is not clearly directly from the profile
what the various elements represent (e.g., profile, restrictions).
Section 4, is the second section related to the main contribution of the paper (the OntoNetHub visualization tool). This is definitely much better written than Section 3,
however the title is forced. I would suggest something along the lines of "The Dashboard Construction Process" to enhance readability.
Section 4.2, however needs to be extended a little bit, as it is not enough to simply mention lots of visualizations as
being the most used. There should be an explanation as to why this happens.
Section 5 is definitely interesting. However, there doesn't seem to be a clear contribution in visualization in here,
as the visualizations look rather like stock D3 visualizations. There are no visualization operators described and not a lot of interactivity.
In my view any new visualization tool needs to come with some new visualizations and some distinctive branding elements
(e.g., nice tooltips, interactivity, some context menus, etc).
Last section describes the future of the application.
In my view, OntoPiA seems to be a mature tool, whereas OntoNetHub definitely needs more work.
This should be resubmitted when OntoNetHub reaches maturity and also delivers nicely integrated visualizations within the generated
dashboards, otherwise it will not be better than run-of-the-mill Elastic or Spark visualization tools based on D3.
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