User: Lawrynka

Name: Lawrynka

Joined: Sunday 13 June 2010 @ 22:10:46 (GMT)

Last seen: Monday 05 March 2012 @ 21:37:49 (GMT)

Email (public): Not specified

Website: Not specified

Location: Poznań, Poland

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2 Groups (member)

7 Workflows

1 Packs

2 Files

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Lawrynka has been credited 2 times

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Interests:

Semantic Web
ontologies
data mining
machine learning

Field/Industry: Computer Science

Occupation/Role(s): Assistant Professor

Organisation(s):

Poznan University of Technology

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RapidMiner Original Uploader Lawrynka	Import of the repository of RapidMiner workflows to RDF format based on DMOP's ontology vocabulary for representing processes (v1) Created: 05/03/12 @ 21:53:03 \| Last updated: 05/03/12 @ 21:53:04 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License No description Rating: 0.0 / 5 (0 ratings) \| Versions: 1 \| Reviews: 0 \| Comments: 0 \| Citations: 0 Viewed: 2 times \| Downloaded: 1 time This Workflow has no tags!	View Download (v1)
RapidMiner Original Uploader Lawrynka	Meta-mining workflow that performs crossvalidation to evaluate a model based on dataset characteristics (v1) Created: 05/03/12 @ 21:47:41 \| Last updated: 05/03/12 @ 21:58:10 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License Performs a crossvalidation on a data set composed of baseline RapidMiner workflows described with dataset characteristics used by the given workflow and the learning algorithm used in the given workflow. Rating: 0.0 / 5 (0 ratings) \| Versions: 1 \| Reviews: 0 \| Comments: 0 \| Citations: 0 Viewed: 15 times \| Downloaded: 7 times Tags (4): meta-learning \| meta-mining \| rapidminer \| rmonto	View Download (v1)
RapidMiner Original Uploader Lawrynka	Semantic meta-mining workflow that performs crossvalidation to evaluate a pattern-based model (v1) Created: 05/03/12 @ 21:37:20 \| Last updated: 05/03/12 @ 21:37:21 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License Performs a crossvalidation on a data set composed of meta-data of baseline RapidMiner workflows expressed in RDF with the DMOP's ontology terminology for representing processes. Includes discovery of a set of semantic features (patterns) by the Fr-ONT-Qu algorithm (‘workflow patterns’). Through propositionalisation approach those features may be used in an arbitrary (propositional) RapidMiner classification operator. Rating: 0.0 / 5 (0 ratings) \| Versions: 1 \| Reviews: 0 \| Comments: 0 \| Citations: 0 Viewed: 9 times \| Downloaded: 3 times Tags (5): meta-learning \| meta-mining \| ontology \| rapidminer \| rmonto	View Download (v1)
RapidMiner Original Uploader Lawrynka	Loading OWL files (RDF version of videolectures.net dataset) to Sesame/OWLIM repository (v1) 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... Rating: 0.0 / 5 (0 ratings) \| Versions: 1 \| Reviews: 0 \| Comments: 0 \| Citations: 0 Viewed: 12 times \| Downloaded: 4 times Tags (8): clustering \| dmro ontology \| ontologies \| rapidminer \| rmonto \| semantic web \| sparql \| videolectures.net	View Download (v1)
RapidMiner Original Uploader Lawrynka	Semantic clustering (with alpha-clustering) of SPARQL query results over RDF version of videolectures.net dataset (v1) 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 ... Rating: 0.0 / 5 (0 ratings) \| Versions: 1 \| Reviews: 0 \| Comments: 0 \| Citations: 0 Viewed: 15 times \| Downloaded: 4 times Tags (8): clustering \| dmro ontology \| ontologies \| rapidminer \| rmonto \| semantic web \| sparql \| videolectures.net	View Download (v1)
RapidMiner Original Uploader Lawrynka	Semantic clustering (with AHC) of SPARQL query results over RDF version of videolectures.net dataset (v1) 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". ... Rating: 0.0 / 5 (0 ratings) \| Versions: 1 \| Reviews: 0 \| Comments: 0 \| Citations: 0 Viewed: 15 times \| Downloaded: 6 times Tags (8): clustering \| dmro ontology \| ontologies \| rapidminer \| rmonto \| semantic web \| sparql \| videolectures.net	View Download (v1)
RapidMiner Original Uploader Lawrynka	Semantic clustering (with k-medoids) of SPARQL query results over RDF version of videolectures.net dataset (v1) 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 ... Rating: 0.0 / 5 (0 ratings) \| Versions: 1 \| Reviews: 0 \| Comments: 0 \| Citations: 0 Viewed: 7 times \| Downloaded: 2 times Tags (8): clustering \| dmro ontology \| ontologies \| rapidminer \| rmonto \| semantic web \| sparql \| videolectures.net	View Download (v1)