There was also an interesting paper submitted to the upcoming
ODISE conference (Ontology Driven Software Engineering), which I
hope is accepted (I just reviewed it and recommended that it is),
which describes an architecture for ontology-assisted extraction
of meaningful information from text documents. (01)
Mike (02)
On 08/09/2010 15:26, Kingsley Idehen wrote:
> On 9/8/10 9:16 AM, John F. Sowa wrote:
>> On 9/8/2010 8:29 AM, Kingsley Idehen wrote:
>>> I agree with most of your comments above, but we need to be a little
>>> clearer about Linked Data (HTTP URI based hyperdata graphs) and Linked
>>> Open Data (LOD) which is an application of the Web of Linked Data
>>> publishing practices espoused in TimBL's meme [1].
>> I'm glad that we mutually mostly agree.
>>
>>> LOD was bootstrapped through DBpedia [3]. This particular project
>>> deliberately demoted RDF/XML to a negotiated data serialization format
>>> while producing data sets culled from Wikipedia extraction and
>>> transformation using N-Triples and N3/Turtle as preferred markup. Most
>>> important of all, even before RDFa was incorporated in DBpedia, it
>>> introducted the notion of HTML based entity descriptors, enabling easier
>>> human readability and exploration of hyperdata graphs via Web Browsers.
>> That is an excellent short summary that illustrates the basic issues.
>> I would just add three points:
>>
>> 1. DBpedia is a community effort, and I'm all in favor of community
>> efforts.
>>
>> 2. But I also believe that NLP technology has reached a point where
>> automated and semi-automated methods can supplement, extend, and
>> facilitate the development of such resources.
> John,
>
> Absolutely! This is basically what we do with tools like OpenCalais,
> Zemanta, and Alcyhemy API. Basically, we have a piece of "on the fly"
> RDF transformation middleware that we call the "sponger" [1][2][3] that
> provides hooks for any NLP service that exposes an API. It's
> architectural components are as follows:
>
> 1. Extractor Cartridge (or Driver) -- transforms content into RDF and/or
> enriches RDF it encounters
>
> 2. Meta Cartridge (or Driver) - enriches output from #1 by passing text
> through NLP engines and then performing LOD cloud lookups en route to
> final Linked Data graph construction.
>> 3. The automated tools will still require human guidance, review,
>> and oversight, but they can be faster, more consistent, and
>> more thorough than traditional methods.
> Yes, this is why annotation tools are so vital to the emerging Web of
> Linked Data. Ironically, we don't actually many tools addressing this
> critical area at the current time. Basically, the notion of a "Data
> Wiki" is in plain sight, but only a few (including TimBL) have picked up
> on this. TimBL's solution is that its implemented via the Tabulator
> which is browser specific (re. extension) and so-so to use in hosted
> form. We have solutions too, in many forms that inclued: QBE styley
> Query Builders [4][5] with SPARUL capability, Annotation features within
> our ODS [6] product etc.. But again, these products have questionable UI
> (User Interaction) patterns (in the eyes of their beholders) due the
> broader underlying concepts of Linked Data not being fully assimilated
> by end-users, at the current time.
>
> Links:
>
> 1. http://virtuoso.openlinksw.com/dataspace/dav/wiki/Main/VirtSponger --
> Virtuoso Sponger Middleware
> 2.
> http://virtuoso.openlinksw.com/screencasts/virtuoso-rdf-middleware3.swf
> -- Virtuoso Sponger Workflow Animation
> 3. http://uriburner.com -- Sponger Instance behind a domain that
> delivers RDF transformation and Linked Data generation& publication
> service
> 4.
>
>http://wikis.openlinksw.com/dataspace/owiki/wiki/OATWikiWeb/InteractiveSparqlQueryBuilder
> -- iSPARQL Query Builder
> 5.
>
>http://wikis.openlinksw.com/dataspace/owiki/wiki/OATWikiWeb/InteractiveSparqlQueryBuilderTutorials
> - iSPARQL Query Builder Tutorials
> 6. http://ods.openlinksw.com/dataspace/dav/wiki/ODS -- OpenLink Data
> Spaces (ODS) .
>
> Kingsley
>
>>> Yes! There is really absolutely nothing new about RDF or Linked Data.
>>> Hopefully, people will soon come to understand this :-)
>>>
>>> Links:
>>>
>>> 1. http://www.w3.org/DesignIssues/LinkedData.html - TimBL's how to
>>> publish Linked Data meme
>>> 2. http://esw.w3.org/SweoIG/TaskForces/CommunityProjects/LinkingOpenData
>>> -- Linked Open Data Community Portal
>>> 3. http://dbpedia.org .
>> Amen.
>>
>> John
>>
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> (03)
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