Data Mining Portal

Two major ontologies are being developed within the e-LICO project:

• a domain-independent ontology on data mining (DMO)
• a domain ontology for the project's pilot application on the kidney and urinary pathways (KUPO)

Data Mining Ontology (DMO)

The data mining ontology serves a number of different objectives; it has been modularized in order to ensure quick, goal-oriented development. One objective is to support planning of the knowledge discovery process and building of workflows for a user task. This is being pursued through the e-LICO Protégé-based planning and Data Mining Work Flow (eProPlan-DMWF) Ontology.

The second objective is to support algorithm and model selection for data mining tasks that require search in the space of possible methods and models, e.g., feature selection or induction (modelling).  The third objective is to support meta-mining, or learning from data mining experimentation records to improve algorithm and model selection for search-intensive tasks. The ontology for Data Mining Optimization (DMOP) is being developed in pursuit of these last two objectives.

Kidney and Urinary Pathway Ontology (KUPO)

The Kidney and Urinary Pathway Ontology (KUPO) is a joint collaborative effort of the e-LICO project and COST Action EuroKUP. Participants in EuroKUP contribute domain knowledge while e-LICO members provide the ontology engineering support.