Welcome to the Department of Knowledge Technologies Prof. Nada Lavrač Head Department Head: Prof. Nada Lavrač

Department of Knowledge Technologies – Research areas Staff: cca. 25 researchers and support staff + 10 students and external collaborators Main research areas –Machine learning/Data mining (12) –Text mining and semantic web (10) –Knowledge management (4) –Decision support systems (2) –Human language technologies (3) –Logic and cognition (1)

Department of Knowledge Technologies CoreApplications – Ecological modeling – AI in medicine – Healthcare – Agriculture – Enterprise management – Marketing and News

Funding National funding (1/3): –Basic research project “Knowledge Technologies” –National R&D projects, client applications EU funding (2/3): – 3 IP projects – 10 STREP projects –2 Networks of Excellence –2 Specific Support Actions, Coordination Actions –In 2007: 15 7FP EU project proposals

EU projects (since 2004) projects

Publications publications

Data Mining / Machine Learning Machine learning techniques –classification rule learning –subgroup discovery –relational data mining and ILP Data mining applications –medicine, health care –ecology –knowledge management, virtual organizations Data mining and decision support integration

Subgroup Discovery application

Applications: Forest fire risk prediction

Text Mining and Semantic Web OntoGen

Text Mining and Semantic Web Contents Land

ISTWorld IST World Text and Web Mining support for the EU Commission aplikacija Cooperation diagram

ISTWorld IST World Text and Web Mining support for the EU Commission aplikacija Competence diagram

Decision Support Methods –Qualitative Multi-Attribute Modeling –Decision Analysis –Data Warehouses and OLAP Software –DEXi: Multi-attribute decision support Applications: –over 50 applications for clients: evaluation of companies, personnel management, project evaluation, land-use planning, agronomy, medicine and health-care, sport

Multi-attribute decision support: Applications and DEXi Software DEXi supports : what-if analysis stability analysis temporal tracing how explanation why explanation software

Human Language Technologies Main research areas: Compilation of language resources & development of text annotation tools Digital publishing of complex texts Machine translation; Semantic Web; Machine learning of language Focus on Slovenian language Applications Annotated corpora Scholarly Digital Editions of Slovenian Literature Japanese-Slovene Learners’ Dictionary

International cooperation Industry: –British Telecom –France Telecom –Siemens Business Solutions –Empolis/Bertelsman –Atos Origin –Software AG –UN FAO –Dassault Aviation –BRGM (Bureau de recherches géologiques et minières) –SINTEF (Norway) –iSOCO (Spain) –Ontoprise (Germany) –SIRMA (Bulgaria) –Helsinki Institute of Technology –FZI Karlsruhe –CRF FIAT –... Academia: –Uni Karlsruhe –Uni Southampton –Uni Sheffield –Uni Innsbruck –UCL –Uni Roma –Tech Uni Praga –VU Amsterdam –Open University –Polytechnica Madrid –INRIA –INRA –CNRS (France) –CNR (Italy) –Frauenhofer –DFKI Saarbrucken –... partnerships

International (non-EU) cooperation Carnegie Mellon University, US – Link Analysis, Text-Mining, Market Analysis Microsoft Research, UK – Text-Mining, Link Analysis Stanford University & NASA Ames, US – Equation Discovery, Ecological Modeling Cycorp Inc., US ■■ – Knowledge Management (ontologies) Osaka University, Japan – Equation Discovery Tokyo University, Japan – Human language technologies partnerships