Re: Fwd: Usage of the SSN ontology

Dear Amelie,

Thanks a lot for the pointers.

In fact, the idea for the first step was to automatically identify and 
analyse the ontologies and datasets. That's the reason for some of the 
relevant sources you mention not been taken into account yet.

Now in a second step all those sources will be analysed.

Kind regards,

El 9/12/16 a las 17:06, gyrard Amelie escribió:
> Dear Raul,
>
>
> I would like to share some comments regarding this email.
>
>
> I have projects or datasets in mind using SSN ontology.
>
>
>   *
>
>     Citypulse project:
>
>       o
>
>         http://iot.ee.surrey.ac.uk:8080/datasets.html
>
>   *
>
>     Spitfire project
>
>       o
>
>         Check on Datahub
>          https://datahub.io/fr/dataset/ld4s-linked-sensor-data
>
>       o
>
>         Copy of the ontology available on LOV4IoT
>
>   *
>
>     FIESTA-IoT
>
>       o
>
>         M3-lite ontology referenced on LOV
>
>   *
>
>     M3 framework
>
>       o
>
>         M3-lite ontology referenced on LOV
>
>   *
>
>     Linked Sensor data knoesis
>
>       o
>
>         https://datahub.io/dataset/knoesis-linked-sensor-data
>
>   *
>
>     Openiot
>
>       o
>
>         Copy of the ontology available on LOV4IoT
>
>   * Vital
>       o 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):
>
>       o
>
>         Extension of Linked Open Vocaburies
>
>       o
>
>         http://sensormeasurement.appspot.com/?p=ontologies
>
>       o
>
>         With ctrl+f SSN, you will find all ontologies mentioning SSN (in
>         the paper perhaps not done in the implementation)
>
>
> SPARQL endpoint tools
>
>   *
>
>     Sportal
>
>       o
>
>         http://www.sportalproject.org/index.html
>
>   *
>
>     Sparql endpoint status
>
>       o
>
>         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 <mailto: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 <mailto:public-sdw-wg@w3.org>
>> Date : Mon, 5 Dec 2016 21:05:41 +0100
>> De : Raúl García Castro <rgarcia@fi.upm.es <mailto:rgarcia@fi.upm.es>>
>> Pour : public-sdw-wg@w3.org <mailto: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/
>> <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/
>> <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 <tel:+34%20913%2036%2065%2096> - Fax: +34 91
>> 352 48 19 <tel:+34%20913%2052%2048%2019>
>>
>>
>>
>>
>
>
>
>
>


-- 

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 - Fax: +34 91 352 48 19

Received on Monday, 12 December 2016 20:27:35 UTC