robotics, ontology catalog, internet of robotics things, internet of things, semantic web, knowledge graph, knowledge repository July 18, 2019 weekly ontologies for the internet of robotic things_ ontology catalog, knowledge extraction ieee p1872.2 standard for autonomous robotics (au_r) ontology

1. Ohio Center of Excellence in Knowledge-Enabled Computing
18 July 2019
IEEE P1872.2 Standard for Autonomous Robotics (AuR) ontology
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2. https://standards.ieee.org/project/1872_2.html#
IEEE
standard

3. http://wiki.knoesis.org/index.php/Answer-Robotic-SemanticWeb-IoT-Workshop-IROS2019
Co-located with IROS
(A-rank conference)!
Submit and present your
work!
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6. Robots are getting
connected to the Web as
well
Paper: RoboEarth - A World Wide Web for Robots
[Waibel et al. 2011]

7. M3 Framework: http://sensormeasurement.appspot.com/
Focus of the talk
today: knowledge
repository and
ontology quality for
robotics

8. Lets’ investigate
existing ontologies for
robotics
Internet of
Things
Semantic
Web/
Knowledge
Graphs
Robotics

9. If only I new what is a pizza,
what kind of pizzas, etc.
A robot cooking pizzas or
delivering pizzas
Do you know the pizza
ontology?
Hawaiian pizza has
pineapple
https://protege.stanford.edu/ontologies/pizza/pizza.owl

10. Do you know the pizza
ontology?
Hawaiian pizza has
pineapple
https://protege.stanford.edu/ontologies/pizza/pizza.owl

11. Pizza ontology
Robot ontology

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13. Surveys can be supported
with knowledge repository
tools which aggregate
more and more
knowledge
Ongoing
Work

14. Looking for robot
knowledge on LOV
(only 8 results - July 2019)
https://lov.linkeddata.es/dataset/lov/vocabs?q=robot
https://lov.linkeddata.es/dataset/lov/terms?q=robot

15. A catalog to reuse
existing
ontologies/schemas/
vocabularies

16. Exchange
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ClassifyCollect Annotate

17. July
2019
More than 518
ontology-based
projects

18. LOV4IoT Video on Youtube: https://youtu.be/a1zsdkzE_oY
Knowledge repository
extended to support
Robotic Systems

19. Number of
knowledge-based projects
classified
http://lov4iot.appspot.com/?p=lov4iot-robotics

20. Number of knowledge-based
projects classified according
to their reusability
http://lov4iot.appspot.com/?p=lov4iot-robotics

21. Clickable links
to the
ontologies
Clickable links to the
scientific articles
http://lov4iot.appspot.com/?p=lov4iot-robotics
Knowledge repository
of past
robotic projects

22. Many ontologies that are not online yet :(
Lack of best practices known?
Projects not maintained anymore?
http://lov4iot.appspot.com/?p=lov4iot-robotics

23. http://lov4iot.appspot.com/?p=queryRoboticOntologiesWS

24. http://lov4iot.appspot.com/?p=lov4iot_RDF_dataset_webpage
E.g., the dataset can be
used to designed a more
fancy GUI with filtering

25. => Links to
ontology code
=> Scientific
publication to keep
the provenance
=> Status of
the ontology
(e.g., online)
http://purl.org/lov4iot-dataset

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27. Challenge Website:
http://wiki.knoesis.org/index.php/KE4WoTChallengeWWW2018
April 2018

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29. http://lov4iot.appspot.com/?p=OntologyExtractionKE4WoTChallengeWWW2018
Too many concepts:
1) Neither aligned
2) Nor part of core ontologies
like W3C SSN, W3C time
Defining the
methodology
for building this table
automatically
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30. Outstanding Paper Award - Concept Extraction from Web of Things Knowledge Bases. International Conference WWW/Internet.
21-23 October 2018, Budapest, Hungary. Mahda Noura, Amelie Gyrard, Sebastian Heil, and Martin Gaedke

31. Outstanding Paper Award - Concept Extraction from Web of Things Knowledge Bases. International Conference WWW/Internet.
21-23 October 2018, Budapest, Hungary. Mahda Noura, Amelie Gyrard, Sebastian Heil, and Martin Gaedke
Relevant for
robotics as
well

32. Outstanding Paper Award - Concept Extraction from Web of Things Knowledge Bases. International Conference WWW/Internet.
21-23 October 2018, Budapest, Hungary. Mahda Noura, Amelie Gyrard, Sebastian Heil, and Martin Gaedke

33. Paper: Automatic Knowledge Extraction to build Semantic Web of Things Applications. Mahda Noura, Amelie Gyrard, Sebastian
Heil, Martin Gaedke. IEEE Internet of Things (IoT) Journal 2019. Impact factor: 5.863 in 2019

34. Paper: Automatic Knowledge Extraction to build Semantic Web of Things Applications. Mahda Noura, Amelie Gyrard, Sebastian
Heil, Martin Gaedke. IEEE Internet of Things (IoT) Journal 2019. Impact factor: 5.863 in 2019

35. Paper: Automatic Knowledge Extraction to build Semantic Web of Things Applications. Mahda Noura, Amelie Gyrard, Sebastian
Heil, Martin Gaedke. IEEE Internet of Things (IoT) Journal 2019. Impact factor: 5.863 in 2019

36. Let’s extract the knowledge
from the ontology catalog
for robotics
as well.

37. Knowrob ontology
that you are
interested in!

38. Interest in looking
for specific terms

39. Looking for
specific terms

40. TO DO: Improvements with Natural
Language Processing (NLP)!
Any experts interested in this work?

41. ProtegeLOV - prolov plugin: https://labs.mondeca.com/prolov/index.html
Similar idea

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43. http://perfectsemanticweb.appspot.com/
A set of semantic tools than can
be applied to improve the
Autonomous Robotics (AuR)
ontology designed within the
IEEE standardization P1872.2

44. http://perfectsemanticweb.appspot.com/

45. http://perfectsemanticweb.appspot.com/?p=ontologyValidationLOV4IoT
Choose the robotics
domain

46. http://perfectsemanticweb.appspot.com/?p=ontologyValidationLOV4IoT
List of ontologies for
robotics

47. http://perfectsemanticweb.appspot.com/?p=ontologyValidationLOV4IoT
Automatic ontology
integration with
wonderful semantic
web tools to
investigate

48. http://perfectsemanticweb.appspot.com/?p=ontologyValidationLOV4IoT
http://visualdataweb.de/webvowl/
Automatic ontology
visualization.
Quick understanding of
the ontology in few
minutes

49. http://perfectsemanticweb.appspot.com/?p=ontologyValidationLOV4IoT
http://oops.linkeddata.es/
Tool to help improve
your ontology
(e.g., common pitfalls)

50. http://perfectsemanticweb.appspot.com/?p=ontologyValidation
More tools!
Better GUI!
Input: ontology URL

51. http://perfectsemanticweb.appspot.com/?p=ontologyValidation
More tools!
Better GUI!
Input: ontology URL

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53. Paper: https://arxiv.org/pdf/1709.03486.pdf [Zhao et al. ICRA 2018]
Video on YouTube
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Who has interest in
martial arts?
Not yet
ontologies?

54. IoT for Ninjas: Microcontrollers and sensors meet martial arts training [Justiniano 2018]
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Who has interest in
martial arts?
Not yet
ontologies?

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57. Ohio Center of Excellence in Knowledge-Enabled Computing
18 July 2019
IEEE P1872.2 Standard for Autonomous Robotics (AuR) ontology
57