Mercurial > repos > mikel-egana-aranguren > oppl
annotate OPPL/query.xml @ 15:622cde484f4c draft
Add new tool to perform OPPL queries
author | Mikel Egana Aranguren <mikel-egana-aranguren@toolshed.g2.bx.psu.edu> |
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date | Thu, 12 Jul 2012 17:12:00 +0200 |
parents | 68c4ae500a13 |
children | c9e01f86b07c |
rev | line source |
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1 <tool id="query" name="Perform an OWL query against an ontology" version="1.0.1"> |
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2 <description>It performs a query, expressed in Manchester OWL Syntax, against an OWL ontology</description> |
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4 <!-- DEFAULT SETTINGS --> |
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6 <!-- For big ontologies I use -Xmx7000M -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 --> |
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8 <command> |
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9 java -Xmx7000M -Xms250M -DentityExpansionLimit=1000000000 -jar ${__tool_data_path__}/shared/jars/query.jar $ontology $reasoner $answer_type $answer_format "$query" > $output |
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10 </command> |
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12 <!-- FACT++ --> |
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14 <!-- If you are planning to use FaCT++ you have to uncomment bellow (And comment the default settings above) and replace the -Djava.library.path with the appropiate JNI library path for your platform:FaCT++-linux-v1.5.2/64bit, FaCT++-linux-v1.5.2/32bit, FaCT++-OSX-v1.5.2/64bit, ...... --> |
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15 <!-- Using this setting doesn't upset the rest of the reasoners so you may as well leave it on if you plan to switch between FaCT++, Pellet and HermiT --> |
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17 <!--<command> |
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18 java -Djava.library.path=${__tool_data_path__}/shared/jars/FaCT++-linux-v1.5.2/64bit -Xmx7000M -Xms250M -DentityExpansionLimit=1000000000 -jar ${__tool_data_path__}/shared/jars/query.jar $ontology $reasoner $answer_type $answer_format "$query" > $output |
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19 </commadn>--> |
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22 <inputs> |
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23 <param name="ontology" type="data" label="Input ontology file"/> |
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24 <param name="query" type="text" size="100" value="" label="Query" /> |
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25 <param name="reasoner" type="select" label="Choose reasoner"> |
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26 <option value="Pellet" selected="true">Pellet</option> |
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27 <option value="HermiT">HermiT</option> |
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28 <option value="FaCTPlusPlus">FaCT++</option> |
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29 </param> |
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30 <param name="answer_type" type="select" label="Choose answer type"> |
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31 <option value="Descendants">Descendant classes</option> |
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32 <option value="DirectSubClasses" selected="true">Direct sub-classes</option> |
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33 <option value="Ancestors">Ancestor classes</option> |
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34 <option value="DirectSuperClasses">Direct super-classes</option> |
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35 <option value="EquivalentClasses">Equivalent classes</option> |
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36 <option value="Individuals">Individuals</option> |
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37 </param> |
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38 <param name="answer_format" type="select" label="Choose how to render the retrieved entities"> |
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39 <option value="URI" selected="true">URI</option> |
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40 <option value="URIfragment">URI fragment</option> |
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41 <option value="URIfragment2OBO">OBO type URI fragment (e.g. GO_0000022 to GO:0000022)</option> |
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42 </param> |
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43 </inputs> |
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44 <outputs> |
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45 <data type="data" format="text" name="output" /> |
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46 </outputs> |
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47 <tests> |
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48 <test> |
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49 <param name="input" value="OWLQueryGalaxyTest.owl"/> |
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50 <param name="query" value="p some d"/> |
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51 <param name="reasoner" value="Pellet"/> |
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52 <param name="answer_type" value="DirectSubClasses"/> |
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53 <param name="answer_format" value="URIfragment"/> |
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54 <output name="out_file" file="query_result"/> |
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55 </test> |
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56 </tests> |
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57 <help> |
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58 |
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59 **About Query-Galaxy** |
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61 Query-Galaxy can be used to execute a DL query against an OWL ontology (e.g. GO_0007049 or part_of some GO_0007049). The result is a list of entities from the target ontology. How those entities relate to the query can be chosen (A DL query is just an anonymous OWL Class). |
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63 **Formats** |
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64 |
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65 Inference-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. |
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66 |
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67 **Contact** |
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68 |
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69 Please send any request or comment to mikel.egana.aranguren@gmail.com. |
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71 </help> |
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73 </tool> |