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Created: 09/07/08 @ 05:36:40
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License: Creative Commons Attribution 3.0 Unported License
Get details of an ontology term given its identifer.
This workflow uses the EBI's Ontology Lookup Service (OLS) to get the details of the ontology term. The OLS suports a wide range of biological and bioinformatic ontologies. See http://www.ebi.ac.uk/ontology-lookup/ for more information.
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Created: 29/01/12 @ 09:38:32 | Last updated: 29/01/12 @ 09:39:22 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/) to perform clustering of SPARQL query results based on chosen semantic similarity measure. The measure used in this particualr workflow is a kernel that exploits membership of clustered individuals to OWL classes from a background ontology ("Common classes" kernel from [1]). Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". ...
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Created: 29/01/12 @ 09:28:33 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/) to perform clustering of SPARQL query results based on chosen semantic similarity measure.
Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". The SPARQL query is entered in a parameter of "SPARQL selector" operator. The clustering operator (k-medoids) allows to specify which of the query variables are to be used as clustering criteria. If more ...
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Created: 29/01/12 @ 15:52:57 | Last updated: 30/01/12 @ 16:10:25 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/) to perform clustering of SPARQL query results based on chosen semantic similarity measure. The measure used in this particualr workflow is a kernel that exploits membership of clustered individuals to OWL classes from a background ontology ("Epistemic" kernel from [1]). Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". This ...
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Created: 29/01/12 @ 16:11:36 | Last updated: 29/01/12 @ 16:47:06 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/). Operator "Build knowledge base" is responsible for collecting data either from OWL files or SPARQL endpoints or RDF repositories and provide it to the subsequent operators in a workflow. In this workflow it is parametrized in this way, that is builds a Sesame/OWLIM repository from the files specified in "Load file" operators. Paths to OWL files are specified as parameter va...
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Created: 29/01/12 @ 16:35:26 | Last updated: 29/01/12 @ 16:38:25
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
For the information on the ontology see: http://www.e-lico.eu/?q=node/288
For the information on the original dataset see:
http://www.ecmlpkdd2011.org/challenge.php
The ontology and KB files are zipped into one file.
File type: ZIP archive Rating: 0.0 / 5 (0 ratings) | Comments: 0 | Viewed: 1 time | Downloaded: 0 times Tags: |
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