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The rise of ML-Schema

alawrynowicz — Thu, 15 Oct 2015 13:57:15 +0000

Efforts in previous research of the LeoLOD team members on representation of data mining algorithms, workflows and experiments as well as the research done in LeoLOD on extending DMOP ontology and re-use of a provenance vocabulary may now have a better impact.
Together with Joaquin Vanschoren (Eindhoven University of Technology), Pance Panov (Jozef Stefan Institute), and Diego Esteves (AKSW group, University of Leipzig) as co-chairs, as well as other colleagues, among them Larisa Soldatova (Brunel University), and Tommasu Soru (AKSW group, University of Leipzig) Agnieszka Ławrynowicz established a new W3C Machine Learning Schema Community Group.

The group represents a collaborative, community effort with a mission to develop, maintain, and promote standard schemas for data mining and machine learning algorithms, datasets, and experiments.
The target is a community agreed schema as a basis for ontology development projects, markup languages and data exchange standards; and an extension model for the schema in the area of data mining and machine learning.

Slides from the invited talk at the Silesian University of Technology

alawrynowicz — Fri, 10 Jul 2015 09:18:01 +0000

The slides from a talk on „Semantic Meta-Mining of Knowledge Discovery Processes” Agnieszka Ławrynowicz was giving at the seminar of ADAA group at the Silesian University of Technology in Gliwice are made available at slideshare

The presentation included a description of the pattern mining algorithm Fr-ONT-Qu and DMOP ontology.

The idea of the seminar arised during the meeting of the Polish Special Interest Group on Machine Learning (Polish-SIGML) in April 2015.

Many thanks for the warm welcome.

Termin zgłaszania wyboru pracy magisterskiej w ramach projektu przedłużony do 15 czerwca 2014

alawrynowicz — Tue, 06 May 2014 11:29:29 +0000

Więcej informacji można znaleźć tutaj.

The LeoLOD website is launched!

alawrynowicz — Mon, 30 Sep 2013 12:26:43 +0000

Welcome to the website of the LeoLOD project.