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Re: Publication request: Semantic Sensor Network Ontology as REC on Thursday 19 October 2017

From: George Percivall <gpercivall@opengeospatial.org>
Date: Thu, 19 Oct 2017 08:14:08 -0400
To: public-sdw-wg@w3.org
Message-Id: <DD53CBFB-3188-480E-9F5F-FF61E5EE0CAD@opengeospatial.org>
+1 Congrats to all.




> On Oct 19, 2017, at 7:44 AM, Phil Archer <phil@philarcher.org> wrote:
> 
> Fantastic news.
> 
> Heartfelt congratulations on the delivery of what is both a W3C and OGC standard. Let's hope wide-scale adoption follows, as it should.
> 
> Phil
> 
> On 19/10/2017 12:03, Armin Haller wrote:
>> As of below, SSN is a recommendation. Thanks everyone for an outstanding team effort, and a big thanks also to Phil and Francois for the patience during the bumpier times in the working group!
>> On 19/10/17, 9:47 pm, "Denis Ah-Kang" <denis@w3.org> wrote:
>>     Hi,
>>          The document has been published on https://www.w3.org/TR/.
>>          Regards,
>>          Denis
>>          On 10/16/2017 05:17 PM, Francois Daoust wrote:
>>     > Hello again Webmaster,
>>     > [Armin, see inline for broken link to ANU]
>>     >
>>     > This is a request to publish the Semantic Sensor Network Ontology as Recommendation.
>>     >
>>     > Proposed publication date:
>>     > Thursday 19 October 2017
>>     >
>>     > Director's approval of the transition:
>>     > https://lists.w3.org/Archives/Team/w3t-comm/2017Oct/0148.html
>>     >
>>     > The document, ready for publication, is available at:
>>     > https://www.w3.org/TR/2017/REC-vocab-ssn-20171019/
>>     >
>>     > The document passes pubrules, with the usual Copyright exception for this join W3C/OGC deliverable.
>>     >
>>     > The Link Checker is mostly happy with the spec too, with the exception of a link which currently returns a 500:
>>     > https://www.cbe.anu.edu.au/
>>     >
>>     > The link should be correct though. Armin, I assume that this is temporary. Let us know if we should rather use another URL.
>>     >
>>     > Description of the specification:
>>     > The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things.
>>     >
>>     > I'll draft a transition announcement for the Comm Team.
>>     >
>>     > Thanks,
>>     > Francois.
>>     >
>>     >
>>     
> 
> -- 
> Phil Archer
> http://philarcher.org
> +44 7887 767755
> @philarcher1
> 
> 
> 


Received on Thursday, 19 October 2017 12:14:33 UTC

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