- From: Svensson, Lars <L.Svensson@dnb.de>
- Date: Wed, 6 May 2015 15:07:49 +0000
- To: Bernard Vatant <bernard.vatant@mondeca.com>, Marco Brandizi <brandizi@ebi.ac.uk>
- Cc: Linking Open Data <public-lod@w3.org>
- Message-ID: <24637769D123E644A105A0AF0E1F92EF010CF67F47@dnbf-ex1.AD.DDB.DE>
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 D-60322 Frankfurt am Main Telefon: +49-69-1525-1752 Telefax: +49-69-1525-1799 mailto:l.svensson@dnb.de http://www.dnb.de 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<mailto: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<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><mailto: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<tel:%2B44%20%280%291223%20492%20613>, Fax: +44 (0)1223 492 620<tel:%2B44%20%280%291223%20492%20620> -- Bernard Vatant Vocabularies & Data Engineering Tel : + 33 (0)9 71 48 84 59 Skype : bernard.vatant http://google.com/+BernardVatant -------------------------------------------------------- Mondeca 35 boulevard de Strasbourg 75010 Paris www.mondeca.com<http://www.mondeca.com/> Follow us on Twitter : @mondecanews<http://twitter.com/#%21/mondecanews> ----------------------------------------------------------
Received on Wednesday, 6 May 2015 15:08:20 UTC