annotate OPPL/oppl_query.xml @ 17:c9e01f86b07c draft

New tool added for merging imported ontologies (GalaxyOWLAPI and README changed and test ontologies added accordingly). Memory settings changed in all the tools XML files

<tool id="oppl_query" name="Perform an OPPL query against an ontology" version="1.0.1">
	<description>It performs a query, expressed in OPPL Syntax, against an OWL ontology</description>
	
	<!-- Galaxy is not happy with OPPL throwing info into stderr, and I have redirected stderr to /dev/null, which is a bad solution since OPPL galaxy does not inform properly when it fails -->
	<!-- More info on the stderr issue: http://wiki.g2.bx.psu.edu/Future/Job%20Failure%20When%20stderr -->
	<!-- Testing with wrapper.sh but no success so far -->

	<!-- DEFAULT SETTINGS -->
	
	<!-- For big ontologies I use -Xmx3000M -Xms250M -DentityExpansionLimit=1000000000 If that's too much for your machine simply delete or modify at will, but since Galaxy is usually used in a server setting it makes sense to use a big chunk of memory -->

	<command>
		java -Xmx3000M -Xms250M -DentityExpansionLimit=1000000000 -jar ${__tool_data_path__}/shared/jars/oppl_query.jar $ontology $reasoner $answer_format "$query" > $output 2>/dev/null
	</command>
	
	<!-- FACT++ -->
	
	<!-- If you are planning to use FaCT++ you have to uncomment bellow (And comment the default settings above) and replace the -Djava.library.path with the appropiate JNI library path for your platform:FaCT++-linux-v1.5.2/64bit, FaCT++-linux-v1.5.2/32bit, FaCT++-OSX-v1.5.2/64bit, ...... -->
	<!-- Using this setting doesn't upset the rest of the reasoners so you may as well leave it on if you plan to switch between FaCT++, Pellet and HermiT -->
	
	<!--<command>
		java -Djava.library.path=${__tool_data_path__}/shared/jars/FaCT++-linux-v1.5.2/64bit -Xmx3000M -Xms250M -DentityExpansionLimit=1000000000 -jar ${__tool_data_path__}/shared/jars/oppl_query.jar $ontology $reasoner $answer_format "$query" > $output 2>/dev/null
	</commadn>-->
	

	<inputs>
		<param name="ontology" type="data" label="Input ontology file"/>
		<param name="query" type="text" size="100" value="" label="OPPL Query" />
		<param name="reasoner" type="select" label="Choose reasoner">
			<option value="Pellet" selected="true">Pellet</option>
			<option value="HermiT">HermiT</option>
			<option value="FaCTPlusPlus">FaCT++</option>
		</param>
		<param name="answer_format" type="select" label="Choose how to render the retrieved entities">
			<option value="URI" selected="true">URI</option>
			<option value="URIfragment">URI fragment</option>
			<option value="URIfragment2OBO">OBO type URI fragment (e.g. GO_0000022 to GO:0000022)</option>
		</param>
	</inputs>
	<outputs>
		<data type="data" format="text" name="output" />
	</outputs>
	<!--<tests>
		<test>
			<param name="input" value="test.owl"/>
			<param name="query" value="?p:OBJECTPROPERTY SELECT Transitive ?p "/>
			<param name="reasoner" value="Pellet"/>
			<param name="answer_format" value="URIfragment"/>
			<output name="out_file" file="query_result"/>	
		</test>
	</tests>-->
	<help>

**About OPPL-Query-Galaxy**

  OPPL-Query-Galaxy can be used to execute an OPPL query against an OWL ontology (?whole:CLASS, ?part:CLASS SELECT ?part SubClassOf part_of some ?whole WHERE ?part != Nothing). The result is a two column table with the entities that have been bound by the variables. 
  
**Formats**

  OPPL-Query-Galaxy uses the OWL API, and therefore it can load any ontology format that such API is able to load: OBO flat file, OWL (RDF/XML, OWL/XML, Functional, Manchester), turtle, and KRSS. The output is a list of terms.

**Contact**

  Please send any request or comment to [e-mail].

	</help>

</tool>