Re: Why we work on RSP

Dear All,

Sorry for disturbing you during the weekend.

Thanks
​Jean ​
for the explanation.
Here I am considering only IoT data. Generally, we send data from sensors
in Json/ Xml format, where a specific value
​/reading ​
is represented by different key-value pairs
​as​

{sensor/device:
​ ​
device_name
type:
​ ​
temperature
value:
​ ​
32
unit:
​ ​
degree
time:
​ ​
12:12:12
}
I
​k​
now that RDF/RDFa data is machine interpretable because of URIs, which make
it special. Things I am not able to understand
​ include:​


   1.  How RDF makes data more discoverable? I mean even JSON/XML data is
   discoverable because data is associated with a number of attributes as
   shown in
   ​the ​
   example. In both representations,
   ​ ​
   i.e., json/xml or RDF representation
   ​,​
   ​
   we must be knowing the attribute names or URIs before hand.
   2. Also, you are saying that if we don’t know the data source/structure
   a-priori, then RDF data allows us to do some fancy tasks. Can you please
   elaborate it with an example? I think if we don’t have any clue about data
   structure then It does not matters whether it is in json or xml or RDF.

The main point is here to find the importance of RDF/linked data. How it
makes a different impact on the research community. Why should I represent
my IoT data in RDF
​steams​
?


On Thu, Jul 30, 2015 at 1:54 PM, Jean Paul Calbimonte <
jpcalbimonte@delicias.dia.fi.upm.es> wrote:
>
> Hi Haroon,
>
> I guess there would be different answers to this.
> One example can be data discovery. If you already know your data sources
then it's usually fine to use existing technologies: you know your schema
and you can use your old pub-sub stuff.
> But in IoT and other domains you sometimes do not know that beforehand,
and the interpretable data comes very handy to do fancy data discovery
tasks. On the contrary, if we use e.g. CSV values 3.0, 4.5, 3, 6.7 without
any semantic metadata it's impossible to know what your data source is
about.
>
> I think there are many other examples, this could be one.
>
> Jean-Paul
>
> ________________________________
> Date: Mon, 27 Jul 2015 13:34:48 +0530
> From: haroonr@iiitd.ac.in
> To: public-rsp@w3.org
> Subject: Why we work on RSP
>
> Hello Everyone,
>
>
> My apologies if I have sent this mail to the wrong discussion group.
>
>
> My name is Haroon and I have joined the RSP W3C group recently. I am
working on linked, streaming data from last one month approximately. I am
considering IoT data (say temperature, humidity readings)  as a source of
continuous data streams.  I find this area exciting; recently I had a
discussion with some of my colleagues about linked stream data processing.
During discussion we mainly discussed around the  following points:
>
______________________________________________________________________________________________

>
> 1. Why we need to work on linked-data (RDF) streams ?
> My response: Linked data is machine interpretable. Therefore
> ,
> we need to represent our data into linked data form so that machines can
> understand it and possibly can reason over it. This also makes data
sharable/reusable. Other data representations are not machine interpretable.
>
> 2. We have several data representations available (say XML, JSON, ….) and
we have some efficient publish-subscribe systems, which consume IoT data
streams and then push
> the
> relevant data to end users/applications. Existing data representations
and publish-subscribe systems suffice the current needs
> ,
> then why should we go for linked streams data representation. Apart from
machine-interpretable feature it does not add anything. Also
> ,
> it makes data much more verbose  and hence it might take more time to
process the data at processing engine.
> Response:  ….
>
______________________________________________________________________________________________
>
>  At the end of
> the
> discussion I found my colleagues were not satisfied because none of them
was
> an
> expert in semantic technologies. Although I am satisfied about this area
> ,
> but I need genuine feedback/comments from your side about the above
mentioned points. What makes linked
> ,
> streaming data representation so special that we need to work over it
further?
>
>
> --
> Haroon Rashid




--
Haroon Rashid