ORKG for Engineering -> Paper idea e.g. for Sci-K workshop

[c...@digital-filestore.de]

Dear all,

I recently discovered ORKG and this mailing list. One of the oldest
messages in the archive contains a link to

https://drive.google.com/drive/folders/1Sxc0Ojy1-WTltHt2m2l2h-pHM7ToyAsc.

Within this folder there is a spreadsheet document named "Paper ideas",
which contains in line 17

Idea: "ORKG for Engineering"
Details: "take 10 papers from the field and demonstrate how ORKG can be
used to represent these and answer typical competency questions".

This sounds very interesting for me. Thus I want to ask:

a) Is this still an open paper idea or has it already been finished?

b) Is anybody interested in collaborating with me on such a paper,
preferably (but not limited to) somebody with some experience with the
ORKG and its workflows?


My aim (if not other medium is preferred): Make a contribution to the
Sci-K workshop (https://sci-k.github.io/, submission deadline
2022-02-03, see CfP from Angelo Salatino from earlier today.


My background: I am a postdoc in electrical engineering (control
engineering, see [1]) and my mid-term research goal is to explore
methods of formal knowledge representation to facilitate the knowledge
transfer within the control engineering community and in its
heterogenuous domains of application (process engineering, building
automation, robotics, ...).
I am not a super active publishing machine but my record is more than
nothing: [3, 4]


W.r.t. my skill set: I am not a computer scientist, but would say that
apart from domain knowledge in control engineering I have some
understanding of software (I teach a Python course and wrote a book on
it), and also some idea of formal knowledge representation techniques
(owl, sparql, swrl, neo4j, ...).

Furthermore, I recently initiated a community for python-related
semantic technology [2]. I mention this because of the very nice picture
https://orkg.readthedocs.io/en/stable/_images/orkg_loves_python.jpg
which indicates some Python-affinity inside the ORKG community.


If anybody is interested in collaborating on said contribution (or on
integrating control engineering knowledge into ORKG) please reach out:

<firstname...@tu-dresden.de>.


[1] https://tud.link/7rsv (video of triple pendulum swing-up as control
engineering benchmark project)

[2] https://pysemtec.org

[3] https://scholar.google.de/citations?hl=de&user=1tbndxgAAAAJ (my
google scholar profile)

[4] https://python-fuer-ingenieure.de (recently published book)

Best,
Carsten (Knoll)

https://tu-dresden.de/ing/elektrotechnik/rst/das-institut/beschaeftigte/carsten-knoll