Fwd: Usage of the SSN ontology

Dear Raul,

I would like to share some comments regarding this email.

I have projects or datasets in mind using SSN ontology.


   -

   Citypulse project:
   -

      http://iot.ee.surrey.ac.uk:8080/datasets.html
      -

   Spitfire project
   -

      Check on Datahub
      https://datahub.io/fr/dataset/ld4s-linked-sensor-data
      -

      Copy of the ontology available on LOV4IoT
      -

   FIESTA-IoT
   -

      M3-lite ontology referenced on LOV
      -

   M3 framework
   -

      M3-lite ontology referenced on LOV
      -

   Linked Sensor data knoesis
   -

      https://datahub.io/dataset/knoesis-linked-sensor-data
      -

   Openiot
   -

      Copy of the ontology available on LOV4IoT
      - Vital
   - vital ontology http://vital-iot.eu/ontology/ns/ontology.owl
   - Linked Sensor Middleware LSM endpoint ?
   - STAR-city project?


Tools to find more ontologies or datasets based on SSN ontology

   -

   Datahub
   -

   Linked Open Vocabularies for Internet of Things (LOV4IoT):
   -

      Extension of Linked Open Vocaburies
      -

      http://sensormeasurement.appspot.com/?p=ontologies
      -

      With ctrl+f SSN, you will find all ontologies mentioning SSN (in the
      paper perhaps not done in the implementation)


SPARQL endpoint tools

   -

   Sportal
   -

      http://www.sportalproject.org/index.html
      -

   Sparql endpoint status
   -

      http://sparqles.ai.wu.ac.at/


Hope it helps!


--
Best Regards
Dr. Amélie Gyrard
Connected Intelligence <https://connected-intelligence.univ-st-etienne.fr/>
, Knowledge Representation and Reasoning,
Univ Lyon, MINES Saint-Étienne, CNRS, Laboratoire Hubert Curien UMR 5516,
F-42023 Saint-Étienne, France
M3 Project (Semantic Web of Things): http://sensormeasurement.appspot.com/
FIESTA-IoT Prototype: http://fiesta-iot-tools.appspot.com/
<http://sensormeasurement.appspot.com/>


On Tuesday, December 6, 2016 12:02 CET, Antoine Zimmermann <
antoine.zimmermann@emse.fr> wrote:





-------- Message transféré --------
Sujet : Usage of the SSN ontology
Date de renvoi : Mon, 05 Dec 2016 20:06:42 +0000
De (renvoi) : public-sdw-wg@w3.org
Date : Mon, 5 Dec 2016 21:05:41 +0100
De : Raúl García Castro <rgarcia@fi.upm.es>
Pour : public-sdw-wg@w3.org

Dear all,

During the last days, with the help of my colleague Nandana, we've been
trying to identify the existing places where the SSN ontology has been
reused.

We've focused on the usage of the SSN ontology (of the SSN vocabulary
terms, specifically) in existing ontology and dataset catalogues.

We have automatically analysed the datasets included in LOD Laundromat,
LOD Cloud Cache, and LODStats (even if they share plenty of datasets,
there are some that are different). Regarding the ontologies, we have
analysed those in the LOV ontology catalogue.

I have included a draft with the analysis in the github repository (I
didn't know where to put it and we wanted to have HTML to generate
easily the tables):
https://w3c.github.io/sdw/ssn-usage/

Before the pull request is accepted, you can check it here:
https://rgcmme.github.io/sdw/ssn-usage/

The main conclusion of the analysis is that the coverage of the SSN
terms is quite low in the analysed datasets and ontologies (we only
found 2 datasets and 9 ontologies).

This is logical, since datasets using the SSN ontology may not be openly
published in the Web, may be part of streams of data that are not
persisted, may be used internally in data processing infrastructures, etc.

Therefore, we are thinking on a second stage in the analysis in which we
ask for ontologies and datasets that reuse the SSN ontology in an open call..

If we have access to the dataset/ontology, we can automate the analysis
(i.e., generate the tables); if not, people should fill the table for
the dataset/ontology.

However, before progressing further on this, I'd like to hear the
opinions from the group.

Furthermore, note that even if this may be related to the implementation
report (ACTION-213), with this approach we will be obtaining the
implementation report for SSN 1.0, but not for SSN 2.0 (if we have
equivalence mappings between terms in 1.0 and 2.0, we could generate the
report for those equivalent terms).

Besides, the analysis could not result in a full coverage of the SSN
vocabulary terms (i.e., it may happen that there are terms that have
been used once or no used at all).

Kind regards,

--

Dr. Raúl García Castro
http://www.garcia-castro.com/

Ontology Engineering Group
Departamento de Inteligencia Artificial
Escuela Técnica Superior de Ingenieros Informáticos
Universidad Politécnica de Madrid
Campus de Montegancedo, s/n - Boadilla del Monte - 28660 Madrid
Phone: +34 91 336 65 96 <+34%20913%2036%2065%2096> - Fax: +34 91 352 48 19
<+34%20913%2052%2048%2019>