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Alpen-Adria-Universität Klagenfurt
Applied Informatics / Application Engineering

 Contact data
StreetUniversitätsstrasse 65 - 67 
ZIP, City, Region 9020 - Klagenfurt (Carinthia) 
Phone+43-463-2700-3703 
Fax+43-463-2700-3798 
EmailSend Email
Webhttp://www.uni-klu.ac.at/tewi/inf/ainf/ 
 Contact person

Prof. Dr. Dr. h.c. Heinrich C. Mayr (Head of the Research Group)
 Employees (Total)
Total: 11-50  number of researches: 10
 Competencies

 Central aim of organisation
Excellent Research and Academic Teaching

 Briefly describe your organisation
Our focus in research and teaching activities is on the modeling and design of user-oriented applications. We conduct both fundamental research as well as experimental and applied research with an emphasis on the areas of modeling, computational linguistics and semantic web, which are further complemented by projects in the area of e-learning.
We focus on human-centered informatics and our research activities address topical issues in this area. Our current areas of interrest include Ambient Assisted Living with the project Human Behavior Monitoring and Support (HBMS) as well as Mobile Application Modeling and Development.

 Core Competency

Research & Development

 ICT sectors:
   - E-Learning     
   - Ambient Assisted Living (Services for the Elderly)     
   - Industrial Application     
   - Databases, Database Management     
   - Knowledge Management     
   - Process Management     
   - Usability Engineering     
   - Internet Technologies     
   - Data Mining     

 ICT keywords
Requirements Engineering, Modeling, Natural Language Processig, Ambient Assistance
 RTD Experiences & Publications

 My organisation has been involved in projects funded by the following EU-programmes
  Coordinator  Partner 
EU Framework Programme (FP)
Other international co-operative research

 Austrian Research and Development Projects
  Coordinator  Partner 
Non-cooperative Projects (Single projects)        
Cooperative Projects
Education Projects (Thesis, ..)

 RTD Experience
Modeling:
To model is innate in humans, as it helps us to better understand segments of our complex reality. Models and their (formal) linguistic representations are the central tool for communication, for the reflection of experiences, for decision-making, for the formation of opinion and for strategic planning. Ultimately, every informatics system is a model. The study of modeling deals with the development of modeling languages and tools for these modeling purposes and for a variety of target groups, such as those with different backgrounds in training and education. We have developed several approaches to determine the relationship between descriptions in natural language and more formal (model) descriptions of informatics. The centerpiece here is the Klagenfurt Conceptual Predesign Model KCPM, which serves as Interlingua for transformations in both directions.

Ambient Assisted Living - AAL:
The purpose of AAL research is to enable the elderly to live as autonomously as possible in their domestic environment for as long as possible, with the aid of IT methods. We use our approaches and our skills in modeling and computational linguistics in order to derive individual cognitive behavioral models from the specific behavioral processes of a particular person. These are subsequently further processed on an interdisciplinary basis, using methods from artificial intelligence and findings from the field of cognitive psychology. Knowledge learned in this way can be recalled at a later date, thus compensating for gaps in the episodic memory of the respective person and supporting them in their activities. As a consequence, persons that find themselves in need of assistance to an increasing degree, are supported by their own previous knowledge rather than by that of third parties.

Computational Linguistics:
Across the globe, vast quantities of information are produced on a daily basis, usually taking an unstructured, merely textual form. For us humans, understanding these texts generally poses no difficulties. However, the same can not be said for computers. Computational linguistics develop methods and software, which allow computers to understand texts (natural language) and thus to process these.

Current projects:
• Natürlichsprachliche Anforderungsanalyse (NIBA)
• Linguistik Corpus Analysis (LCA)

Both projects tackle the extraction of relevant information from natural language texts. There are several other projects in development, proving that linguistic methods are constantly gaining relevance in many fields.

Modern Learning & E-Learning:
Due to processes of demographic change and the associated transformations taking place in the world of work, lifelong learning has become a topic of significant relevance for the future of society and sciences. In this context, e-learning today represents a key component for the support of learning and teaching. We therefore also apply our modeling expertise to the description of learning and teaching content. The main focus here is on the modular development of learning objects, their administration and their reutilization.

Going beyond this, we are also involved in various projects, where we work on the development of applications that are of an edutainment nature, playfully motivating students to learn. The practical applicability of these learner-centered scenarios is tested in cooperation with schools.

 Publications

  • C. Kop, H.C. Mayr (1998): Conceptual Predesgin - Bridging the Gap between Requirements and Conceptual Design. In: Proceedings of the 3rd Int. Conference on Requirements Engineering (ICRE’98), Colorado Springs.
  • H.C. Mayr, C. Kop (2002): A User Centered Approach to Requirements Modeling. In: M. Glinz, G. Müller-Luschnat (Hrsg.): Modellierung 2002. Modellierung in der Praxis - Modellierung für die Praxis. Bonn: Köllen Verlag, (Edition-Lecture Notes in Informatics (LNI), P-12), pp. 75-86.
  • F. Fliedl, Ch. Kop, H. C. Mayr: From Conceptual Scenarios to a Conceptual Schema. Data & Knowledge Engineering 55 (2005), Elsevier, S. 20-37.
    Ch. Kop, J. Vöhringer, M. Hölbling, Th. Horn, Ch. Irrasch, H. C. Mayr: Tool Supported Extraction of Behavior Models. In: R. K. Kaschek et al. (Hrsg.), Lecture Notes in Informatics, 2005.
  • Ch. Kop, G. Fliedl, H. C. Mayr, M. Hölbling, Th. Horn: Extended Tagging as a Source for Mapping Requirements Texts to Conceptual Models. In: Proc 10th Int. Conf. on Natural Language Applications for Information Systems, Alicante, June 2005, LNCS 3513, Springer Verlag 2005.
  • J. Vöhringer, H. C. Mayr: Integration of Schemas on the Pre-conceptual Level Using the KCPM-Approach. In: A. G. Nilsson et al. (Hrsg.), Advances in Information Systems Development, Springer Verlag 2005.
  • C. Kop, H. C. Mayr, N. Yevdoshenko: Requirements Modeling and MDA. Proposal for a Combined Approach, Proc ISD 2006, Budapest, LNCS Springer Verlag, 2007, pp. 191-202.
  • X. Liang, C. Kop, A. Ginige, H. C. Mayr: Turning Concepts into Reality – Bridging Requirements Engineering and Model-Driven Generation of Web Applications. In: Proc. 2nd Conference on Software and Data Technologies, Barcelona, Juli 2007, pp. 109-115.
  • Bachmann, W. Hesse, C. Kop, H. C. Mayr, A. Russ, J. Vöhringer: OBSE – an Approach to Ontology-based Software Engineering in the Practice. Lecture Notes in Informatics, LNI-119, October 2007, pp. 129-142.
  • G. Fliedl, Ch. Kop, H.C. Mayr, A. Salbrechter, J. Vöhringer, G. Weber, Ch. Winkler: Deriving Static and Dynamic Concepts from Software Requirements using Sophisticated Tagging. In: Data and Knowledge Engineering, Amsterdam: Elsevier B.V, Vol. 61 (2007), No. 3, pp. 433 - 448.
  • V.A. Shekhovtsov, Ch. Kop, H. C. Mayr: Capturing the Semantics of Quality Requirements into an Intermediate Predesign Model. In: W. Hesse, A. Oberweis (Hrsg.): Sigsand-Europe 2008. Bonn: Gesellschaft für Informatik e.V, 2008 (Lecture Notes in Informatics, P-129), pp. 25-37.
  • D. Gälle, Ch. Kop, H.C. Mayr: A Uniform Web Service Description Representation for Different Readers. In: L. Berntzen, A. Smedberg (Hrsg.): The Second International Conference on the Digital Society (ICDS 2008). New York (NY): IEEE, Februar 2008, pp. 123-128.
  • W. Hesse, H.C. Mayr H. C.: Modellierung in der Softwaretechnik: eine Bestandsaufnahme. In: Informatik Spektrum, Berlin, Heidelberg, New York: Springer Verlag GmbH, Vol. 31 / 2008 (2008), No. 5, pp. 377-393.
  • M. Anzelak, G. Frankl, H.C. Mayr: Knowledge Management for Production. In: M. Khosrow-Pour (Hrsg.): Encyclopedia of Information Science and Technology. Hershey (PA): IGI Global / IGI Publishing (IGIP), 2008.
  • D. Gälle, Ch. Kop, H.C. Mayr: A Uniform Web Service Description Representation for Different Readers. In: L. Berntzen, A. Smedberg (Hrsg.): The Second International Conference on the Digital Society (ICDS 2008). New York (NY): IEEE, Februar 2008, pp. 123-128.
  • V.A. Shekhovtsov, R. Kaschek, Ch. Kop, H.C. Mayr: Relational Service Quality Modeling. Book chapter in (N. Milanovic ed.): Non-Functional Properties in Service Oriented Architecture: Requirements, Models and Methods, Information Science Reference (Hershey, New York), 2011, pp. 172-193.
  • J. Michael; H.C. Mayr: Behavior Model Mapping. Proc. 3rd International Workshop on Model-Driven Architecture and Modeling-Driven Software Development - MDA & MDSD, Beijing 2011.
  • H.C. Mayr, J. Michael (2012): Control Pattern Based Analysis of HCM-L, a Language for Cognitive Modeling. [accepted for publication at ICTer 2012]
  • J. Michael, V. Bolshutkin, St. Leitner, H.C. Mayr, H.C. (2012): Behavior Modeling for Ambient Assistance. To appear in: Proc. Int. Conference on Management and Service Science MASS 2012, Shanghai.

 Inserted / Updated
2004-10-22 / 2012-09-16