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Ohio Center of Excellence in Knowledge-Enabled Computing
18 July 2019
IEEE P1872.2 Standard for Autonomous Robotics (AuR) ontology
1
https://standards.ieee.org/project/1872_2.html#
IEEE
standard
http://wiki.knoesis.org/index.php/Answer-Robotic-SemanticWeb-IoT-Workshop-IROS2019
Co-located with IROS
(A-rank conference)!
Submit and present your
work!
3
1.
2.
3.
4.
5.
●
●
○
Robots are getting
connected to the Web as
well
Paper: RoboEarth - A World Wide Web for Robots
[Waibel et al. 2011]
M3 Framework: http://sensormeasurement.appspot.com/
Focus of the talk
today: knowledge
repository and
ontology quality for
robotics
Lets’ investigate
existing ontologies for
robotics
Internet of
Things
Semantic
Web/
Knowledge
Graphs
Robotics
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
Do you know the pizza
ontology?
Hawaiian pizza has
pineapple
https://protege.stanford.edu/ontologies/pizza/pizza.owl
Pizza ontology
Robot ontology
1.
2.
3.
4.
5.
Surveys can be supported
with knowledge repository
tools which aggregate
more and more
knowledge
Ongoing
Work
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
A catalog to reuse
existing
ontologies/schemas/
vocabularies
Exchange
●
●
ClassifyCollect Annotate
July
2019
More than 518
ontology-based
projects
LOV4IoT Video on Youtube: https://youtu.be/a1zsdkzE_oY
Knowledge repository
extended to support
Robotic Systems
Number of
knowledge-based projects
classified
http://lov4iot.appspot.com/?p=lov4iot-robotics
Number of knowledge-based
projects classified according
to their reusability
http://lov4iot.appspot.com/?p=lov4iot-robotics
Clickable links
to the
ontologies
Clickable links to the
scientific articles
http://lov4iot.appspot.com/?p=lov4iot-robotics
Knowledge repository
of past
robotic projects
Many ontologies that are not online yet :(
Lack of best practices known?
Projects not maintained anymore?
http://lov4iot.appspot.com/?p=lov4iot-robotics
http://lov4iot.appspot.com/?p=queryRoboticOntologiesWS
http://lov4iot.appspot.com/?p=lov4iot_RDF_dataset_webpage
E.g., the dataset can be
used to designed a more
fancy GUI with filtering
=> Links to
ontology code
=> Scientific
publication to keep
the provenance
=> Status of
the ontology
(e.g., online)
http://purl.org/lov4iot-dataset
1.
2.
3.
4.
5.
Challenge Website:
http://wiki.knoesis.org/index.php/KE4WoTChallengeWWW2018
April 2018
●
○
○
○
○
○
○
●
○
○
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
29
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
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
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
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
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
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
Let’s extract the knowledge
from the ontology catalog
for robotics
as well.
Knowrob ontology
that you are
interested in!
Interest in looking
for specific terms
Looking for
specific terms
TO DO: Improvements with Natural
Language Processing (NLP)!
Any experts interested in this work?
ProtegeLOV - prolov plugin: https://labs.mondeca.com/prolov/index.html
Similar idea
1.
2.
3.
4.
5.
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
http://perfectsemanticweb.appspot.com/
http://perfectsemanticweb.appspot.com/?p=ontologyValidationLOV4IoT
Choose the robotics
domain
http://perfectsemanticweb.appspot.com/?p=ontologyValidationLOV4IoT
List of ontologies for
robotics
http://perfectsemanticweb.appspot.com/?p=ontologyValidationLOV4IoT
Automatic ontology
integration with
wonderful semantic
web tools to
investigate
http://perfectsemanticweb.appspot.com/?p=ontologyValidationLOV4IoT
http://visualdataweb.de/webvowl/
Automatic ontology
visualization.
Quick understanding of
the ontology in few
minutes
http://perfectsemanticweb.appspot.com/?p=ontologyValidationLOV4IoT
http://oops.linkeddata.es/
Tool to help improve
your ontology
(e.g., common pitfalls)
http://perfectsemanticweb.appspot.com/?p=ontologyValidation
More tools!
Better GUI!
Input: ontology URL
http://perfectsemanticweb.appspot.com/?p=ontologyValidation
More tools!
Better GUI!
Input: ontology URL
1.
2.
3.
4.
5.
Paper: https://arxiv.org/pdf/1709.03486.pdf [Zhao et al. ICRA 2018]
Video on YouTube
53
Who has interest in
martial arts?
Not yet
ontologies?
IoT for Ninjas: Microcontrollers and sensors meet martial arts training [Justiniano 2018]
54
Who has interest in
martial arts?
Not yet
ontologies?
●
○
○
●
○
○
○
○
○
■
Ohio Center of Excellence in Knowledge-Enabled Computing
18 July 2019
IEEE P1872.2 Standard for Autonomous Robotics (AuR) ontology
57

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