[OTDev] RDF for dataset representation
Egon Willighagen egon.willighagen at gmail.comSun Nov 1 15:18:44 CET 2009
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Hi Christoph, On Wed, Oct 28, 2009 at 1:51 PM, Christoph Helma <helma at in-silico.de> wrote: > # Examples: > > # a calculated logP > <http://webservices.in-silico.ch/compound/InChI=1S/H4N2/c1-2/h1-2H2> blueobelisk:xlogP -2.20 . I am actively working on this ontology... the current structure is actually slightly different from the above triple... but the idea is like that. > # toxicological classification > <http://webservices.in-silico.ch/compound/InChI=1S/H4N2/c1-2/h1-2H2> toxicity:multi_cell_call "active" . > > # a class sensitive structural feature, calculated by an algorithm that does not yet exist in an established ontology > <http://webservices.in-silico.ch/compound/InChI=1S/H4N2/c1-2/h1-2H2> algorithm:backbone_refinement_class [ <#smarts> "N-N"; <#p_value> 0.9998; <#effect> "activating" ] . This takes advantagous of the concept of anonymous classes. > Advantages: > > - We do not need a separate feature webservice (at least for for simple feature values and moderatly complex features, like the tuples in the BBRC example) > - We do not need necessarily a feature-ontology (or feature-definition) webservice, if we use, expand and combine existing ontologies Reuse of ontologies is mostly recommended... > - It can help us to solve the problem of unique IDs, by using URIs > - Plays well with REST > - Established standard > - Facilitates queries/reasoning (especially useful for building GUIs) - Can be embedded in HTML using RDFa. > Possible disadvantages: > > - Support in programming languages? For Java at least it is not a problem. Egon -- Post-doc @ Uppsala University Homepage: http://egonw.github.com/ Blog: http://chem-bla-ics.blogspot.com/ PubList: http://www.citeulike.org/user/egonw/tag/papers
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