Re: Usecase 3

OK.  We'll start discussing tomorrow. Check the minutes.
All the best, Ashok
On 11/18/2013 5:38 AM, Michael Petychakis wrote:
> Dear Ashok,
>
> I will not be able to attend the call tomorrow unfortunately, because I have a flight at the same time.
> If you discuss about the current use case, please send me the minutes and and any feedback or questions and I answer them through mail, so that we do not have to hold for a week.
>
> Thank you very much!
>
> Best regards,
> Michael Petychakis.
>
> PS:
> Any contribution or feedback from anyone in the group would be more than welcome!
>
>
> On Nov 17, 2013, at 12:05 AM, Ashok Malhotra <ashok.malhotra@oracle.com <mailto:ashok.malhotra@oracle.com>> wrote:
>
>> Michael:
>> I'm sending this to the CG for discussion on Tuesday.
>>
>> =========================================================================
>>
>> Looking into detail the products and retail stores, I found out that most retail stores follow the same ontology. This is a really popular one out there, and here is an example list of the companies that follow it, http://wiki.goodrelations-vocabulary.org/Datasets.The main data model they all follow is the http://schema.org/Product, which is also better interpreted in RDFa. There is also a more specific vocabulary, http://schema.org/ProductModel <http://schema.org/ProductModel> but it is just offers some more specific properties.Having a look at this model, there is already a list of properties and relations. For example, the arcs could be isRelatedTo, isSimilarTo, audience which connects to the other class http://schema.org/PeopleAudience. Some more could be discussed and extracted regarding the product model, the audience of people and other interesting aspects.
>>
>> On top of that, there is already a lot of work regarding the postage, the quantities and the delivery of products. The general class is http://schema.org/Intangible, which can be combined with other geo-ontologies creating a rich graph for analysis on calculating optimal routes.
>>
>> In general a graph like the above could be used to calculate better user recommendations by interlinking information from several resources  or automatic optimisation of the stock in companies warehouses, based on the what users prefer to buy on specific locations. The syntax language for such a graph could natively be RDF, so algorithms and standards like SPARQL could be utilised in heavy usage.
>>
>> As a conclusion, I see 3 distinct possibly interesting use cases based on this wide area, or we could name them scenarios on a more general use case.
>>
>> The scenarios I find relevant, are:
>>
>>
>>   * ·User recommendation
>>   * ·Route optimization for product delivery
>>   * ·Warehouse stock optimization
>>
>> -- 
>> All the best, Ashok
>