Difference between revisions of "Data Repository and Data Services"

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(Data loader)
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==Data loader==
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One of the chief objectives of the Phenoscape project is to present a centralized repository to store annotations entered by ichthyologists. These annotations can be queried from a user interface and used to answer [[Driving_Research_Questions]] and for use cases such as [[Phenoscape_Use_Cases]]. The following tools which are under various stages of development, will serve to realize this objective. 
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==Phenoscape Data loader==
 
A data loader application to refresh the data in the Phenoscape database on a daily basis is under development. The application is being developed as a Perl module, which in sequential order:
 
A data loader application to refresh the data in the Phenoscape database on a daily basis is under development. The application is being developed as a Perl module, which in sequential order:
 
* '''Downloads curated NeXML files from the Phenoscape SVN repositories'''
 
* '''Downloads curated NeXML files from the Phenoscape SVN repositories'''

Revision as of 19:57, 11 November 2008

One of the chief objectives of the Phenoscape project is to present a centralized repository to store annotations entered by ichthyologists. These annotations can be queried from a user interface and used to answer Driving_Research_Questions and for use cases such as Phenoscape_Use_Cases. The following tools which are under various stages of development, will serve to realize this objective.

Phenoscape Data loader

A data loader application to refresh the data in the Phenoscape database on a daily basis is under development. The application is being developed as a Perl module, which in sequential order:

  • Downloads curated NeXML files from the Phenoscape SVN repositories
    • Ichthyologists curate scientific publications using the Phenex character matrix annotator and these curations are stored in an SVN repository. The data loader downloads these data files on a daily basis for subsequent uploading into the relational database
  • Drops and recreates the database
  • Loads the requisite ontologies into the database
  • Loads the data from the curated NeXML files into the database,
    • The data loader transforms the curated data from NeXML syntax to a set of relational tuples (records), which are then sequentially inserted into the database
  • Invokes the OBD reasoner to elicit implicit information from the data and adds them to the database
    • The OBD reasoner uses definitions of transitive relations, relation hierarchies, and relation compositions to infer implicit information. These inferences are added to the relational database in the final step


For code specific details

  • OBD API Documentation
    • Specific details of OBD related classes and interfaces as documented by Cartik Kothari. These will be updated very often and are meant to be used as an addendum to the The OBOEdit Javadoc

Web services

Each service may support multiple media types. The desired media type can be specified by appending ?media=json or similar to the request URL. URI specifications are defined (loosely) using URI Templates.

Term info

URI

<BASE URI>/term/{term_id}

Returns

JSON: <javascript> {

   "id" : "TAO:0001700",
   "name" : "caudal-fin stay",
   "definition" : "Bone that is located anterior to the caudal procurrent rays. Caudal fin stays are unpaired bone."
   "parents" :
   [
       {
           "relation" : "OBO_REL:is_a",
           "id" : "TAO:0001514",
           "name" : "bone"
       },
       {
           "relation" : "OBO_REL:part_of",
           "id" : "TAO:0000862",
           "name" : "caudal fin skeleton"
       }
   ],
   "children" : [] // if there are children, this content should be in the same format as the parents list

} // how should xrefs, etc. be represented, property_value definitions? </javascript>

OWL-RDF:

Todo...

Error

If there is no term with the given ID, the service should return "404 Not Found".

Handling of anonymous post-compositions

Autocomplete

URI

<BASE URI>/term/search/{text}?name=[true|false]&syn=[true|false]&def=[true|false]&ontology=[ont1;ont2;...]

All URI parameters are optional. Default values are name=true, syn=false, def=false. The "ontology" parameter should be a semicolon-separated list of ontology prefixes to search within. If not given, the default is to search all ontologies.

Returns

JSON: <javascript> {

   "matches" : [
       {   // overall format
           "id" : "TAO:0001514",
           "name" : "bone",
           "match_type" : "name" | "syn" | "def",
           "match_text" : "this is the term name, synonym name, or definition that matched"
       },
       {   // a name example
           "id" : "TAO:0001514",
           "name" : "bone",
           "match_type" : "name",
           "match_text" : "bone"
       },
       {   // a synonym example
           "id" : "TAO:0001795",
           "name" : "ceratohyal foramen",
           "match_type" : "syn",
           "match_text" : "bericiform foramen"
       },
       {   // a definition example
           "id" : "TAO:0000488",
           "name" : "ceratobranchial bone",
           "match_type" : "def",
           "match_text" : "Ceratobranchials are bilaterally paired cartilage bones that form part of the ventral branchial arches. They articulate medially with the hypobranchials and laterally and dorsally with the epibranchials.  Ceratobranchials 1-5 ossify in the ceratobranchial cartilages."
       }
   ]

} </javascript>

Error

If there are no terms matching the given input, a document should still be returned, containing an empty results list.