GJN invited lectures in Almeria June 2011

The lectures will be given on 6-8 June 2011 in DKSE group in Universidad de Almería.

Dr. Grzegorz J. Nalepa

Dr. G. J. Nalepa

Grzegorz J. Nalepa, PhD (gjn [at] agh [dot] edu [dot] pl, http://home.agh.edu.pl/gjn) holds a position of assistant professor in AGH UST in Krakow, Poland, Department of Automatics. Since 1995 he has been actively involved in number of research projects, including Regulus, Mirella, Adder, HeKatE and recently INDECT and BIMLOQ. His PhD, received from AGH UST in 2004 concerned new design methods for intelligent systems. In 2007-9 he has been coordinating the HeKatE project, and since 2010 has been coordinating the BIMLOQ project, both led by Prof. Antoni Ligeza (see http://hekate.ia.agh.edu.pl and http://bimloq.ia.agh.edu.pl). He has authored and co-authored over 100 publications (see here), from the domains of knowledge engineering, intelligent systems and software engineering. His fields of interest also include computer security and operating systems. He formulated a new design and implementation approach for intelligent rule-based systems called XTT (eXtended Tabular Trees).

He is involved in several conferences and workshops, including DERIS, RuleApps, AISEW, and KESE. Since 2008 he's been co-organizing the Knowledge and Software Engineering Workshop (KESE) at KI, the German AI conference.

He is the President of the Polish Artificial Intelligence Society (PSSI) http://pssi.agh.edu.pl.

He has been lecturing computer science courses in number of polish universities. He has been working with commercial companies preparing professional trainings in computer security and operating systems. He also took part in a number of curricula preparations, including graduate and postgraduate studies, for several universities.

He is an active user and supporter of free software and open source software.

For a full scientific resume see http://home.agh.edu.pl/~gjn/wiki/en:research.

For GEIST profile see http://geist.agh.edu.pl/pub:about_us:people:start#dr._grzegorz_j._nalepa

 

Lecture outline

The principal objective of the lectures is to present advanced topics in Knowledge Engineering with rules. The experiences with the HeKatE methodology, as well as the Semantic Knowledge Engineering approach are discussed.

This is a draft version of the outline.

1 Knowledge engineering with Rule-Based Systems

The goal of the lecture is to discuss the main issues of designing classic rule-based systems (RBS) using RBS shells.

Recommended reading:

Some labs:

2 Introduction to the HeKatE methodology

The goal of the lecture is to give an outline of the HeKatE methodology for building advanced RBS.

Recommended reading:

3 Knowledge formalization with the Semantic Knowledge Engineering approach

The goal of the lecture is to discuss the Semantic Knowledge Engineering (SKE) approach that builds on the HeKatE experiences. It provides full formalization of the knowledge representation methods, as well as semantic translations of rules.

Recommended reading: to be published…

4 HaDEs environment

The goal of the lecture is to present the HaDEs tool environment that supports the HeKatE design process.

Recommended reading:

Some labs:

5 Semantic translations of rules for the Semantic Web and UML

The goal of the lecture is to discuss rule-based knowledge translations from the XTT2 representation considered in the SKE to Semantic Web rules and UML.

Recommended reading:

Some labs:

6 Business Rules and Process Modeling

The goal of the lecture is to give basic information about biz process and rules modeling which is the next step for SKE.

Recommended reading:

Last modified: 2011/06/02 01:03