where is Bozen-Bolzano?

• small: ~3500 students (16% international)

• 60% graduate on time (46% Italy)

• 81% employment rate (52% Italy)

• balanced: ~140 professors (30% international)

• 49 average age

• More on unibz website Facts and Figures

unibz

unibz• Times Higher Education World University Rankings

2018(in cooperation with Elsevier):

• tenth world's best small university;

• second best young Italian university.

• World University Rankings: 251-300 band

• Italian Government evaluation: best small university in Italy in Computer Science and Math

computer science @ unibz• young: established 2001

• focussed: 3 research groups (KRDB, InfSys, SWEng)

• research-oriented: 8 MilEUR external research funds and18 European projects

• Times Higher Education World University Rankings 2018(in cooperation with Elsevier):

• third best Italian computer science department;

• best for international outlook Italian computer science department;

• best for citations Italian computer science department.

research centresInformation and

Database Systems Engineering (IDSE)

Coordinator: Prof. Enrico Franconi Focus: Data, knowledge, and process

management Staff: around 35 people

Software and Systems Engineering

(SwSE)

Knowledge and Data (KRDB)

Coordinator: Prof. Markus Zanker Focus: Information and database

systems development

Coordinator: Prof. Barbara Russo Focus: Empirical software

engineering, cloud computing

research overview

InformationandDatabaseSystems

Engineering

Data,Knowledge,andProcessManagement SoftwareEngineering

ResearchGroups

Solutions:TechnologiesandtheirFoundationsBusinessInformation

SystemsBusinessIntelligenceTechniquesandTools RecommenderSystems

SemanticBasedTechniques

DataandInformationManagement

ProcessModellingandVerification

MobileServices SoftwareManagementTools AgileMethods

ApplicationAreasLeisureandTourism CulturalHeritage Agriculture

eHealth eGovernment eLearning

Energy BusinessProcesses SoftwareDevelopment

research @ KRDB

KRDBResearchCentreforKnowledgeandData

ThegoalofKRDBistobridgethegapbetweentheareasofdatabasesandknowledgerepresentaFon,andtodeveloptechniquesandtoolsfortheefficientmanagementoflargeamountsofdatawithacomplexstructureandcomplexinterrelaKonships,takingalsointoaccounttheprocesses

thatmanipulatesuchdata.

WhatparFcularlyproudof?ScienKficandteachingexcellence,internaKonal

standing,strongresearchandeducaKonalnetwork,enjoyableworkingenvironment.

Enrico Franconi - Knowledge representation - Conceptual modelling - Foundations of databases

Staff: 16 staff + 10 RA + 10 PhD

Sergio Tessaris - Intelligent data access - Semantic technologies and KR - Data in business process management

Alessandro Artale - Dynamic and time-changing ISs - Temporal data models - Intelligent data management

Diego Calvanese - Intelligent data management - Knowledge representation in AI - Process modeling and analysis

Marco Montali - Business process management - Artificial intelligence - Intelligent data management

Werner Nutt - Database theory - Data quality - Process modeling

Mouna Kacimi - Entity search - Ranking models

Oliver Kutz - Non-classical Logic, KR - Computational creativity - Applied ontology

Elisa Marengo - Processes in construction - Data-aware business processes - Data completeness

Rafael Penaloza - KR and reasoning - Dynamic and contextual information systems - Managing uncertain, and imprecise Knowledge

Guohui Xiao - Knowledge representation and reasoning - Ontology-based data access - Semantic web

Giancarlo Guizzardi - Conceptual modeling, enterprise modeling - Applied ontology - Ontological analysis and ontology eng.

Daniele Porello - Non-classical logics, KR - Logics for multiagent systems - Foundational ontology, applied ontology.

etc etc

KRDB

RESEARCH TOPICSKnowledge and Data (KRDB)

KR and ReasoningData and

Processes

Temporal Data

Non-Classical Logics

Applied Ontology

Conceptual Modeling

Data Quality

Foundations of DBs Machine

Learning

OBDA

research @ KRDB• The research carried on in the KRDB centre is organised in

four main scientific areas:

• Conceptual and Cognitive Modelling (CORE, lead by prof. Giancarlo Guizzardi),

• Intelligent Integration and Access to Data (In2Data, lead by prof. Diego Calvanese),

• Process-aware Information Systems Management (PRISM, lead by prof. Marco Montali),

• Foundations of Database Technologies (FDT, lead by prof. Werner Nutt).

research @ CORE• Conceptual and Cognitive Modelling Research Group

• develop theoretical foundations and engineering tools to support the representation of conceptualizations of reality (i.e., conceptual models) that are both:

1. ontologically and cognitively adequate and truthful to the phenomena being represented;

2. pragmatic and efficient for supporting human as well as artificial agents in tasks such as domain learning and understanding, semantic interoperability, problem-solving and meaning negotiation.

research @ FDT• Foundations of Database Technologies

• the foundations of data management systems come in two flavours:

1. on the one hand there are formal theories based on areas such as logic, discrete mathematics, and probability theory.

2. on the other hand, researchers have developed a wealth of technologies to store, access and manipulate large amounts of information.

research @ In2data• Intelligent Integration and Access to Data

• investigate foundational, methodological, experimental, and application oriented aspects of access to structured and semi-structured data and information by leveraging its formal semantics:

1. combine techniques developed in the area of ontologies in knowledge representation, with industrial technologies for the efficient management of large amounts of data;

2. develop novel technologies and tools that enable both domain experts (engineers, managers, ...) and IT specialists to deal with the increasing complexity of data and information.

research @ PRISM• Process-aware Information Systems Management

• investigates foundational, methodological, and experimental aspects of process-aware information systems, with emphasis on the integration of business process and data management:

1. combine artificial intelligence, computational logics and formal methods to data science and semantic technologies in order to provide IT support to business and technical experts along the entire process lifecycle, and to enrich data with dynamics;

2. develop intelligent technologies supporting the flexible and adaptive management of organizations and their processes.

studying @ unibz

unibz: “small” uni

• compact: few buildings in the city centre

• easy to meet lecturers and fellow students

• facilities are not overcrowded

• dormitory places for most of the students

support for students• International Relations office to support incoming

students

• welcome and orientation sessions

• help with visa issues

• language centre offering free courses and certification examinations

EMCL Advanced Modules @ UniBZ for 2nd year students 2018/19Module Credits Available Courses Course

CreditsArtificial Intelligence 12 Artificial Intelligence - Methods and Applications 6

Decision Making and Support Systems 6

Intelligent Agents 8

Project in Data Management 4

Modeling and Verification 12 Data and process Modelling 6

Data Visualization and Exploration 6

Formal Verification of Software and Systems 6

Semantic Technologies 12 Semantic Technologies 8

Seminars in Data and Knowledge Engineering 4

Project in Semantic Technologies 4

Machine Learning 12 Data Mining 8

Programming for Data Analytics 6

Statistics for Data Science 6

Real-Time Big Data Processing 6

Natural Language Processing and Automata 12 Information Retrieval 6

Web and Text Mining 6

Computational Linguistics 6

Communication Skills 4 Language Course 2

Research methods 2

Presentation Skills 6 Research Seminar in Computational Logic 6

Project 12 Project (EMCL-P) 12

�1

research projects

• modules may contain project courses

• we support the concatenation of the Data61 project, project course, EMCL-P project, thesis

• NOTE: students are not affected by termination of EMCL

studying @ Data61• Sydney, Macquarie U.

• Rolf Schwitter, Michael Johnson, Abhaya Nayak, Mehmet Orgun

• Sydney, U. of Technology• Mary-Anne Williams

• Sydney: U. New South Wales• Sherif Sakr, Ron van der Meyden, Toby Walsh, Maurice Pagnucco, Michael Thielscher, David Rajaratnam

• Sydney, Wollongong U.• Peter Eklund

• Brisbane• Guido Governatori, Jane Hunter, Kewen Wang

• Canberra• Rajeev Gore, Kerry Taylor, Peter Baumgartner, Quing Wang

• Perth• Mark Reynolds

• Melbourne• Lin Padgam, Timos Sellis, Yuan-Fang Li, Adrian Pearce

summer semester

Student associations• S.C.U.B. – Sports Club University Bolzano

• football, volley, squash, basket…

• trekking, swimming…

• snowdays

• kikero – events and culture

• cinema, concerts, seminars…

For more info visit krdb.eu