Re: Ease of adoption

On 29 July 2013 15:23, Wes Turner <wes.turner@gmail.com> wrote:
>
> On Jul 29, 2013 3:53 AM, "Dave Pawson" <dave.pawson@gmail.com> wrote:
>>
>> Reading http://schema.org/docs/gs.html (IMHO) I don't see the salesmans
>> version,
>> a trainers view of the ideas behind schema.org.
>>
>> Has anyone started to think of how a web monkey or home user might be
>> persuaded
>> to adopt microdata for their own usage?  E.g. taking the user perspective?
>> Dan and others may well find their way round schema.org, but it isn't so
>> easy
>> to get started when a new user comes across it?
>
> When you say "taking the user perspective", what exactly do you mean by
> that? How are you suggesting the pitch should be modified in order to reach
> the target audience?

IMHO that says it, succinctly and for a knowledgeable audience.
  If you look at intro type books (dummys ... etc), there is much more
of a sell there. Persuasion as to why this tech is useful for them,
meets an objective the reader may have?

E.g. "A collection of schemas"... WTF is a schema...?

" html tags, that webmasters can use to markup their pages in ways
recognized by major search providers."
  Oh - that's not me then, I'm not a webmaster...

I.e just the slant?

Does that make sense?

regards DaveP


>
> schema.org has a fairly great description:
>
> """
> What is Schema.org?
> This site provides a collection of schemas, i.e., html tags, that webmasters
> can use to markup their pages in ways recognized by major search providers.
> Search engines including Bing, Google, Yahoo! and Yandex rely on this markup
> to improve the display of search results, making it easier for people to
> find the right web pages.
> Many sites are generated from structured data, which is often stored in
> databases. When this data is formatted into HTML, it becomes very difficult
> to recover the original structured data. Many applications, especially
> search engines, can benefit greatly from direct access to this structured
> data. On-page markup enables search engines to understand the information on
> web pages and provide richer search results in order to make it easier for
> users to find relevant information on the web. Markup can also enable new
> tools and applications that make use of the structure.
> A shared markup vocabulary makes it easier for webmasters to decide on a
> markup schema and get the maximum benefit for their efforts. So, in the
> spirit of sitemaps.org, search engines have come together to provide a
> shared collection of schemas that webmasters can use.
> """
>
> schema.org/docs/gs.html has the following heading structure:
>
> Getting started with schema.org
> * How to mark up your content using Microdata
>    * Why use Microdata? [what about RDFa, these days]
> * Using the schema.org vocabulary
> * Advanced-topic: machine-understandable versions of information
>
>> The other side of this is the breadth of options? How might the
>> increasingly large
>> number of terms be 'filtered' for use by  the man in the street to
>> optimise his/her
>> chances of a search engine result?
>>
>> I think this aspect could and should be given consideration as the size of
>> the main term set increases.
>>
>> Just a thought. Is there work being done in this area?
>
> There is a fair amount of research regarding meta tag stuffing in regards to
> SEO.
>
>>
>> regards
>>
>> --
>> Dave Pawson
>> XSLT XSL-FO FAQ.
>> Docbook FAQ.
>> http://www.dpawson.co.uk
>>
>
> IMHO, from an en-US perspective, the copy text for the schema.org Ontology:
>
> * is fairly verbose
> * could have a few more bullet points
> * could be updated to reference the supported formats
>   (RDF/XML, Turtle, JSON-LD, N3, NTriples, HTML5 Microdata, and *RDFa*)
> * could more directly allude to schema.rdfs.org and
> http://schema.rdfs.org/tools.html
> * could link to topical Wikipedia pages
>
> Wikipedia pages
>
> * /Linked_data
> * /Semantic_web
> * /Microdata_(HTML)
>
> I collected a number of Wikipedia links that may be useful for, as you put
> it, teh "web monkey and home user" here:
> http://www.reddit.com/r/semanticweb/comments/1dvakc/schemaorgdataset_standard_schema_for_linked_data/
>
> Please feel free to share and incorporate this research.



-- 
Dave Pawson
XSLT XSL-FO FAQ.
Docbook FAQ.
http://www.dpawson.co.uk

Received on Monday, 29 July 2013 15:18:08 UTC