RE: [Caution: Message contains Redirect URL content] Re: Ontology to link food and diseases

+1, with a Science caveat ...

"nano-_____" is a marketing nonsense word and followed by "... the smallest unit of ..." is nonsense x 10^5.  The atomic conversion of a serial number tagged (URI) decimal number (currency for example, bills and coins) is 10,000 (URI) + D(0) = 1M (URN) + D(0) {D(0) = Domain)}.

AFAICT, there is no 10^4 prefix ... may I propose "web" = centi-mega- which will at least enable th bookkeepers to count RDF Labels (and Quantum Groups) in pennies, Euro cents, etc..

--Gannon
--------------------------------------------
On Wed, 5/6/15, Svensson, Lars <L.Svensson@dnb.de> wrote:

 Subject: RE: [Caution: Message contains Redirect URL content] Re: Ontology  to link food and diseases
 To: "Bernard Vatant" <bernard.vatant@mondeca.com>, "Marco Brandizi" <brandizi@ebi.ac.uk>
 Cc: "Linking Open Data" <public-lod@w3.org>
 Date: Wednesday, May 6, 2015, 10:07 AM
 

 
 Hi Marco, 
    
 This sounds like a use case for
 nanopublications [1]. They define it as 
    
 [[ 
 A nanopublication is the smallest
 unit of publishable information: an assertion about anything
 that
  can be uniquely identified and attributed to its
 author. 
    
 Individual nanopublications can be
 cited by others and tracked for their impact on the
 community. 
 ]] 
    
 [1]
 http://nanopub.org/wordpress/
 
    
 Best, 
    
 Lars 
    
 *** Lesen. Hören. Wissen. Deutsche
 Nationalbibliothek ***
  
 --
  
 Dr. Lars G.
 Svensson 
 Deutsche
 Nationalbibliothek 
 Informationsinfrastruktur und
 Bestanderhaltung 
 Adickesallee 1 
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 Main 
 Telefon:
 +49-69-1525-1752 
 Telefax:
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 mailto:l.svensson@dnb.de
  
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 From:
 Bernard
  Vatant [mailto:bernard.vatant@mondeca.com] 
 
 Sent: Tuesday,
 May 05, 2015 9:59 AM
 
 To: Marco
 Brandizi
 
 Cc: Linking
 Open Data
 
 Subject:
 [Caution: Message contains Redirect URL content] Re:
 Ontology to link food and diseases 
 
 
 
   
 
 
 
 
 Hi
 Marco 
 
 This is a very
 touchy domain, where vocabularies and data should be
 carefully wrapped within provenance, source, time stamp,
 authority. More than anywhere else, beware
  of any positivist, unique thought, thruth-based approach
 ... 
 
 The examples you
 give are not facts, but just statements which should be
 backed by literature. Exceptions and different viewpoints
 exist, etc. 
 
 
 Think about the fact
 it will feed algorithms, at the end of the day. And if you
 make them public, end in Google Knowledge Graph
 ... 
 
 
 See
 
 http://bvatant.blogspot.fr/2015/02/statements-are-only-statements.html
 
 
 
   
 
 
 
 
 
   
 
 2015-05-03 23:20
 GMT+02:00 Marco Brandizi <brandizi@ebi.ac.uk>:
 
 
 Hi all,
 
 
 
 
 I'm looking for an ontology/controlled vocabulary/alike
 that links food ingredients/substances/dishes to human
 diseases/conditions, like intolerances, allergies, diabetes
 etc.
 
 
 
 
 Examples of information I'd like to find coded (please
 assume they're true, I'm no expert):
 
   - gluten must be avoided by people affected by coeliac
 disease
 
   - omega-3 is good for people with high cholesterol
 
   - sugar should be avoided by people with diabetes risk
 
 
 
 I also would like linked data about commercial food
 products, but even an ontology without 'instances'
 would be useful. 
 
 
 
 
 So far, I've found an amount of literature (eg, [1-3])
 and vocabularies like AGROVOC[4], but nothing like the
 above.
 
 
 
 Thanks in advance for any help!
 
 Marco
 
 
 
 [1]
 http://fruct.org/publications/abstract14/files/Kol_21.pdf
 
 
 [2] 
 http://www.researchgate.net/publication/224331263_FOODS_A_Food-Oriented_Ontology-Driven_System
 
 [3] http://www.hindawi.com/journals/tswj/aip/475410/
 
 [4] http://tinyurl.com/ndtdhwn
 
 
 
 
 
  
 --  
    
 ===============================================================================
 
 Marco Brandizi, PhD <brandizi@ebi.ac.uk>,
 http://www.marcobrandizi.info
 
    
 Functional Genomics Group - Sr
 Software Engineer 
 http://www.ebi.ac.uk/microarray
 
    
 European Bioinformatics Institute
 (EMBL-EBI) 
 European Molecular Biology
 Laboratory 
 Wellcome Trust Genome Campus,
 Hinxton, Cambridge CB10 1SD, United Kingdom
  
    
 Office V2-26, Phone: +44 (0)1223 492 613, Fax: +44 (0)1223 492 620 
  
 
 
 
 
 
 
 
 
 --  
 
 
 Bernard
 Vatant 
 
 Vocabularies
 & Data Engineering 
 
 
 Tel
 :  + 33 (0)9 71 48
  84 59 
 
 Skype
 : bernard.vatant 
 
 
 http://google.com/+BernardVatant
 
 
 
 
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Received on Wednesday, 6 May 2015 16:12:12 UTC