W3C home > Mailing lists > Public > semantic-web@w3.org > December 2010

Re: a list of companies active in the semantic technology area

From: Martin Hepp <martin.hepp@ebusiness-unibw.org>
Date: Wed, 22 Dec 2010 18:28:38 +0100
Cc: Bob DuCharme <bob@snee.com>, Hugh Glaser <hg@ecs.soton.ac.uk>
Message-Id: <3057BADB-AE85-4406-AFFF-0C7EC47A06A7@ebusiness-unibw.org>
To: Semantic Web <semantic-web@w3.org>
Hi all:

Apologies for my late reply, end of term season ;-)

It is very easy to create and maintain such a directory based on  
GoodRelations - actually, the following should already work pretty  
well as of today :

1. A company describes its range of products and services using  
GoodRelations, e.g. using the GoodRelations   Annotator

http://www.ebusiness-unibw.org/tools/goodrelations-annotator/

Many SW companies have done so already, e.g.

	http://www.franz.com/goodrelations.rdf

2. The site informs one or more RDF repositories / crawlers of that  
data, e.g. sindice.com or Ping The Semantic Web so that they can crawl  
and collate the data.

3. Rund a query for matching companies against a suitable SPARQL  
endpoint

See an example query below. The query may not yet be perfect, because  
testing them on

    http://loc.openlinksw.com/sparql
    http://lod.openlinksw.com/sparql
    http://uriburner.com/sparql

currently yields an error message

"37000 Error SQ156: Internal Optimized compiler error : dt not found  
based on cname in sqlo.c:1078."
which I do not understand, so I cannot quickly spot whether it's the  
query or the endpoint.

The basic pattern would be to
- search for gr:BusinessEntities
- that make at least one gr:Offering that is related to semantic  
technology.

The latter can be expressed - approximately - by

- checking for the words

"semantic", "RDF", "ontolog", "OWL", "triplestore", or "linked data"

- in the textual elements attached to the gr:Offering or
- the textual elements of a product or product model linked to that  
offer via gr:includes, and also
- considering  gr:Offering nodes that include objects that are  
instances of subclasses of gr:ProductOrService that contain one of  
these words in the class name, or in its superclasses class names.

Nice example for a typical hybrid SPARQL query in a real world  
setting ;-)

Best

Martin


# List all companies that sell/lease/maintain etc. semantic technology

SELECT ?c ?page ?legalname WHERE
{
   ?c a gr:BusinessEntity .
   ?c gr:legalName ?legalname .
   OPTIONAL { ?c foaf:page ?page }
   ?c gr:offers ?o .

# Now we have to check that they sell something "semantic"
# Option 1: The offering contains "semantic", "RDF", "ontolog", "OWL",  
"triplestore", or "linked data"
   {
	{ ?o ?textprop ?text . }
	UNION
# Option 2: The product or product class contains one of those words
  	{
	  {
   		{ ?o gr:includes ?product. }
    		UNION
	  	{ ?o gr:includesObject ?t .
	  	  ?t a gr:TypeAndQuantityNode .
	  	  ?t gr:typeOfGood ?product .
	    }
# The UNION pattern above is because we cannot assume that the  
expansion of gr:includes is materialized in triples
# See http://www.ebusiness-unibw.org/wiki/GoodRelationsOptionalAxiomsAndLinks 
	
	  }
# Option 2a: The product contains one of those words
	  ?product ?textprop ?text .
# Option 2b: The product is an instance of a class that contains those  
words in their name
	  ?product a ?class .
	  ?class rdfs:subClassOf gr:ProductOrService .
	  ?class ?textprop ?text .
# Also consider labels of superclasses	
	  OPTIONAL {
   	    		?class rdfs:subClassOf ?superclass .
   		    	?superclass ?textprop ?text .}	
  	}
   }
# Constrain the relevant text properties
   FILTER (?textprop = rdfs:label || ?textprop = rdfs:comment || ? 
textprop = gr:name || ?textprop = gr:description )
# Check for significant words
   FILTER ( bif:contains(?text, "semantic") || bif:contains(?text,  
"RDF") ||
   	bif:contains(?text, "ontolog") || bif:contains(?text, "OWL") ||  
bif:contains(?text, "triplestore") ||
   	bif:contains(?text, "linked data") )
}
LIMIT 10

-------------------------------------------------
martin hepp
e-business & web science research group
universitaet der bundeswehr muenchen

e-mail:  hepp@ebusiness-unibw.org
phone:   +49-(0)89-6004-4217
fax:     +49-(0)89-6004-4620
www:     http://www.unibw.de/ebusiness/ (group)
          http://www.heppnetz.de/ (personal)
skype:   mfhepp
twitter: mfhepp

Check out GoodRelations for E-Commerce on the Web of Linked Data!
=================================================================
* Project Main Page: http://purl.org/goodrelations/
* Quickstart Guide for Developers: http://bit.ly/quickstart4gr
* Vocabulary Reference: http://purl.org/goodrelations/v1
* Developer's Wiki: http://www.ebusiness-unibw.org/wiki/GoodRelations
* Examples: http://bit.ly/cookbook4gr
* Presentations: http://bit.ly/grtalks
* Videos: http://bit.ly/grvideos
Received on Wednesday, 22 December 2010 17:32:18 GMT

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