Data Mining Portal

eProPlan page moved to: http://www.e-lico.eu/?q=node/323.

A major challenge for third generation data mining and knowledge discovery systems is the integration of different data mining tools and services for data understanding, data integration, data preprocessing, data mining, evaluation and deployment, which are distributed across the network of computer systems. In e-Lico WP6 we are building an intelligent discovery assistant (IDA) that is intended to support end-users in the difficult and time consuming task of  designing KDD-Workflows out of these distributed services. The assistant will support the user in checking the correctness of workflows, understanding the goals behind given workflows, enumeration of AI planner generated workflow completions, storage, retrieval, adaptation and repair of previous workflows. It should also be an open easy extendable system. This is reached by basing the system on a data mining ontology (DMO) in which all the services (operators) together with their in-/output, conditions and effects are described.

This approach is described in:

• Jörg-Uwe Kietz, Floarea Serban, Abraham Bernstein and Simon Fischer: “Towards Cooperative Planning of Data Mining Workflows”,  In: Proc of the ECML/PKDD09 Workshop on Third Generation Data Mining: Towards Service-oriented Knowledge Discovery (SoKD-09). (PDF)
• Jörg-Uwe Kietz, Floarea Serban, Abraham Bernstein and Simon Fischer: “Data Mining Workflow Templates for Intelligent Discovery Assistance and Auto-Experimentation”,  To Appear in: Proc of the ECML/PKDD10 Workshop on Third Generation Data Mining: Towards Service-oriented Knowledge Discovery (SoKD10). (PDF)

The DMO for planning is divided into several parts:

• e-Lico-eProPlan-Core.owl:    (Core for ontology based planning) This Ontology contains the basic NAMESPACE definitions for all the plugin software developed by UZH for WP5&6.
• e-Lico-eProPlan-DMWF.owl: (domain knowledge for planning Data Mining Work Flows) This Ontology contains everything UZH and Rapid-I agreed on to model Data Manipulation & Mining Tools in RapidMiner as operators for planning.
• e-Lico-eProPlan-Operators-RapidMiner.owl: The Data Mining Operators available in RapidMiner (which includes Weka) are available in a first alpha-version.
• MyDemoWFwithMD.owl : An ontology which can be used to test the planning on a DM workflow.
• e-Lico-eProPlan-DMWF-HTN.owl : a simple task method  decomposition for the  Demo.
  
• MK.owl : An ontology for the Missionaries and cannibals planning problem.
  
• Empty-eProPlan-DMWF.owl: If you want to use our Ontologies, do not open and edit them directly, use an empty Ontology like this one that imports our Ontologies, this way you always get the newest release automatically imported. Also if you want to submit change/addition-proposal, use such an  ontology, fill in your changes/proposals with annotations and submit it in our DMO Forum. Especially welcome are further Operators from other Data Mining Systems/Services. If you just want to browse the ontologies you can do that using
  
  • OWLsight: Browse e-Lico-eProPlan-DMWF.owl using OWLsight
  • Manchester Ontology Browser: Browse e-Lico-eProPlan-DMWF.owl using the Manchester Browser
  • or just have a short look at the Class-Hierarchy

These ontologies are developed using Protégé 4.0 (build 111 or higher).

To use Protégé 4.0 (build 111 or higher) for planning we are developing the eProPlan plug-in (To use a Protégé 4.0 Plugin, you need to first install Protégé and then simply place the jar-file you get via the links below into the folder named “Plugin” inside the protégé directory).

eProplan movies:

• DMWF ontology link
• Problem description in eProPlan link
• Planning a data mining workflow with eProPlan link
• eProPlan applied to a planning problem: missionaries and cannibals link

Comments, enhancement proposals and bug reports can be submitted in our bug-tracker.