RE: Google and Car Schema Data

Thanks to Eric and Dylan for their feedback, as historical context and search behavior are two important aspects of ontology building (on which Schema.org is based).

 

Should we begin building possible query simulations within the categories:

Ex. Vehicle history 

1.       When was this vehicle shipped to the dealer (new auto transport)?

2.       What is the code for the line on which it was manufactured? – VIN Code mapping – example https://en.wikipedia.org/wiki/List_of_Honda_assembly_plants 

3.       Who/what held title to the vehicle prior to final purchase (dealer reassignment, etc.)?

Vehicle condition

1.       What vehicle condition ratings exist for antique vehicles?

2.       What vehicle condition standard is being used (NAAA, Hagerty, Kelley Blue Book, etc.)

 

…Just some thoughts.

 

Tom

 

Tom Adamich, MLS

President

Visiting Librarian Service

224 Chauncey Ave. N.W.

P.O. Box 932

New Philadelphia, OH 44663

330-364-4410

vls@tusco.net

 

From: Eric Miltsch [mailto:eric.miltsch@gmail.com] 
Sent: Thursday, July 30, 2015 11:39 PM
To: Tom Adamich; Rob Bertholf; Allan Chell
Cc: Paul Houle; William Davidson; public-gao@w3.org
Subject: Re: Google and Car Schema Data

 

Also glad to contribute regarding additional search behaviors and patterns - especially as it applies to different user intent. 

I can see this helping sort the priority of elements used and understanding the predictive nature of searches. (Learning the users' cadence)

Thank you,

Eric Miltsch
President - Command Z Automotive Consulting, Inc. 
585.704.8841

On Thu, Jul 30, 2015 at 4:17 PM Tom Adamich <vls@tusco.net> wrote:

…Happy to contribute from the administrative side (as I did with the WikiMarkup).

 

My areas of interest:

·         Vehicle specifications 

·         Vehicle repair status

·         Vehicle communication with repair diagnostics

 

Please advise; take care.

 

Tom

 

Tom Adamich, MLS

President

Visiting Librarian Service

224 Chauncey Ave. N.W.

P.O. Box 932

New Philadelphia, OH 44663

330-364-4410

vls@tusco.net

 

From: Rob Bertholf [mailto:rob@bertholf.com] 
Sent: Thursday, July 30, 2015 1:28 PM
To: Allan Chell
Cc: Paul Houle; William Davidson; public-gao@w3.org
Subject: Re: Google and Car Schema Data

 

Martin/Mirek/All,

Would it be a good idea to identify asks and we can chime in on what aspect each of us could assist with based on our background and passions?

 

I had initialized the GAO Community Charter discussion page (https://www.w3.org/wiki/Talk:GAO_Community_Charter) with how I could potentially be best leveraged.  Is there a more appropriate location for this?  Is there a location where you intend to post specific asks that we can assist with?

 

Nice to connect this morning!

 

Regards,

Rob

On Mon, Jul 27, 2015 at 8:40 AM, Allan Chell <allan@cdemo.com> wrote:

I agree with Paul as we have smaller media companies that are now auto-generating mark-up on all of their product detail pages so that they can provide a better search experience from there own site. This practice will inevitably impact the exposure that search engines will need to provide in the future as well.

 

On Mon, Jul 27, 2015 at 9:21 AM, Paul Houle <ontology2@gmail.com> wrote:

My take on Google v. schema.org is that Google will do what they want to do.

 

Google (usually through Matt Cutts) frequently makes pronouncements about what you should do to improve findability.  please remember that Google would really rather that you gave up on trying to rank well and just bought AdSense ads.

 

As for schema.org,  note that the technology is progressing to the point where organizations smaller than Google and Bing can consume the markup and do useful things with it,  so I say go ahead and use it.

 

 

 

 

 

On Thu, Jul 23, 2015 at 11:19 PM, William Davidson <hondaspeder@gmail.com> wrote:

Does google display schema data and or look at it at all for car?

 

Trying to see if this will be valuable to add to our products.

 

Thanks,

 

Will


-Will

 

 





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Applying Schemas for Natural Language Processing, Distributed Systems, Classification and Text Mining and Data Lakes


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