Hi Vedrin, All,

    The latest version of jaqpot3 is up and running at
http://opentox.ntua.gr:8080/ . I'll provide here some cURL requests
which Vedrin could use to update smokeping:

0. First acquire a token
export jaqpot_username=guest
export jaqpot_pass=guest
export token=`curl -X POST -k
'https://opensso.in-silico.ch:443/auth/authenticate?uri=service=openldap' -d username=$jaqpot_username -d password=$jaqpot_pass`;
token=`echo $token | cut -c10-80`


1. List the 1000 first bibtex entries
curl -H Accept:text/uri-list
'http://opentox.ntua.gr:8080/bibtex?max=1000' -H subjectid:$token

2. List all models
curl -H Accept:text/uri-list http://opentox.ntua.gr:8080/model -H
subjectid:$token

3. List all tasks 
curl -H Accept:text/uri-list http://opentox.ntua.gr:8080/task -H
subjectid:$token

4. Get the RDF representation of a task:
curl -H Accept:application/rdf+xml
http://opentox.ntua.gr:8080/task/048aa8d1-3592-4095-bf9a-d5342e538ba9 -H
subjectid:$token

5. Get the RDF representation of a model:
curl -X GET
http://opentox.ntua.gr:8080/model/092ba2bc-e7d8-4eda-8259-3789065e1d57
-H subjectid:$token

6. Train a model (requires authentication):
curl -X POST -d
dataset_uri=http://apps.ideaconsult.net:8080/ambit2/dataset/54 -d
prediction_feature=http://apps.ideaconsult.net:8080/ambit2/feature/22202
http://opentox.ntua.gr:8080/algorithm/mlr -H Accept:text/uri-list -H
subjectid:$token
curl -X POST -d
dataset_uri=http://apps.ideaconsult.net:8080/ambit2/dataset/54 -d
prediction_feature=http://apps.ideaconsult.net:8080/ambit2/feature/22202
http://opentox.ntua.gr:8080/algorithm/svm -H Accept:text/uri-list -H
subjectid:$token
curl -X POST -d
dataset_uri=http://apps.ideaconsult.net:8080/ambit2/dataset/54 -d
prediction_feature=http://apps.ideaconsult.net:8080/ambit2/feature/22202
http://opentox.ntua.gr:8080/algorithm/fastRbfNn -H Accept:text/uri-list
-H subjectid:$token
curl -X POST -d
dataset_uri=http://apps.ideaconsult.net:8080/ambit2/dataset/54 -d
prediction_feature=http://apps.ideaconsult.net:8080/ambit2/feature/22202
http://opentox.ntua.gr:8080/algorithm/scaling -H Accept:text/uri-list -H
subjectid:$token

7. Use a model for prediction:

export
svmModel=http://opentox.ntua.gr:8080/model/d488d65f-322d-4af4-b847-1ed6c2dc05be
curl -X POST -H subjectid:$token -d
"dataset_uri=http://apps.ideaconsult.net:8080/ambit2/dataset/54?max=10"
$svmModel -H Accept:text/uri-list

export
fastRbfNnModel=http://opentox.ntua.gr:8080/model/1d34aaa8-2b8c-4c0b-a95a-8a439fcfcce1
curl -X POST -H subjectid:$token -d
"dataset_uri=http://apps.ideaconsult.net:8080/ambit2/dataset/54?max=10"
$fastRbfNnModel -H Accept:text/uri-list

export
mlrModel=http://opentox.ntua.gr:8080/model/d8572c7e-b453-485e-99bd-ed3772a5463b 
curl -X POST -H subjectid:$token -d
"dataset_uri=http://apps.ideaconsult.net:8080/ambit2/dataset/54?max=10"
$mlrModel -H Accept:text/uri-list


8. Create a bibliographic reference
curl -X POST -d "author=John Smith" -d "title=Title" -d "address=10,
Some Street" -d
"crossref=http://opentox.ntua.gr:8080/bibtex/faca253c-37fa-42e1-8d04-0a2239f84c8f" -d "annotation=some annotation" -d bibtype=Article -d "pages=1455-1489" -d "abstract=summary" -d year=2011 -d volume=10 -d number=6 -d "journal=Intern. Journal of Something" -d "series=xyz" -d "url=http://someserver.com/reference/1" -d chapter=10 -d "keywords=QSAR,web services" -d edition=first -d "isbn=89-9-4325-123-43-34" -d "issn=0-0-0-0"  http://opentox.ntua.gr:8080/bibtex -H subjectid:$token -H Accept:text/uri-list


9. You can now access the plain text representation of the bibtex entry
you created:

curl
'http://opentox.ntua.gr:8080/bibtex/160fa0cb-d749-4d21-a66c-eac54d5cffc4?accept=text/plain'  -H subjectid:$token

10. Some statistics regarding the database are available in XML at
http://opentox.ntua.gr:8080/dbstats 

Best regards,
Pantelis