Skip to Content

Workshop on Dynamics and Evolution in Intelligent Systems (DEIS)

1st International Workshop on Dynamics and Evolution in Intelligent Systems (DEIS)
Venue: Kherson, Ukraine
Workshop date: to be announced within 6-10 June, 2012,
Paper submission:

Important Dates
30.03.2012 – paper submission (all submission types)
30.04.2012 – notification about acceptance or rejection of workshops
05.05.2012 – submission of the camera ready versions of the accepted papers
01.06.2012 – registration deadline

World changes – so the reflections of the world in information and knowledge representations have to change adequately. Currently the correct and timely changes in knowledge representations and in intelligent knowledge-based systems become increasingly important. Indeed, intelligent systems are used more and more often in different domains, for example in those where intelligent integration of information is an essential requirement – ranging from heterogeneous sensor network data processing through the Web of things to linked data management and use. In those domains the environments of software systems and distributed information artifacts change sporadically and intensively. However, the software components are not adapted and knowledge descriptions are not changed in line with the changes in the World. Typically intelligent software systems and their knowledge are adapted or refined semi-automatically or manually and are available in a sequence of discrete revisions, which results in expanding and amplified distortion between the World and its reflection in intelligent software and knowledge representations.

DEIS solicits contributions aiming at bridging the outlined gap – i.e. the solutions that help adapting and refining intelligent systems and their knowledge representations in dynamics, facilitating to their evolution and resulting in the artifacts that better and more adequately reflect the changes in the World.

Papers accepted by DEIS will be published in a CEUR-WS proceedings volume. This publication channel is chosen to ensure short publication cycle and conformance with the ICTERI preparation schedule.

Keynote Talk

DEIS will be opened by the keynote talk given by Prof. Grigoris Antoniou. Grigoris is a Professor at the Department of Computer Science of the University of Crete, Greece, and the Head of the Information Systems Laboratory at the Institute of Computer Science of FORTH in Greece. Prof. Antoniou is an ECCAI Fellow and an active member of the Ontology Dynamics initiative. He is the co-author of the book “A Semantic Web Primer” . Research interests of Prof. Antoniou are in the field of knowledge and semantic technologies, in particular: how to represent knowledge using logic; and how to automatically deduce conclusions from knowledge. His specialisation is nonmonotonic reasoning, dealing with incomplete and inconsistent information. He is also interested in applying knowledge systems to practical problems, in particular in Electronic Commerce, the World Wide Web (the Semantic Web), and Ambient Intelligence.

Topics of Interest

Within ICT infrastructures, integration and interoperability DEIS invites papers reporting on approaches, concepts, frameworks, solutions for coping with dynamics and adaptability in intelligent software, in particular for autonomous and decentralized settings. The following topics are of relevance:

- Adaptability and dynamics in (intelligent) grid infrastructures
- Adaptable or reconfigurable agent-based systems and their interoperability in dynamic environments
- Dynamically reconfigurable processes and services, their runtime composition and orchestration
- Dynamic aspects in data warehousing and business intelligence
- Dynamics and evolution in cloud computing infrastructures

Within the topic of Machine Intelligence, knowledge engineering (KE), and knowledge management (KM) DEIS focuses on the dynamics and evolution of knowledge representations particularly in, but not limited to, the form of ontologies. The following topics related to this scope category are of interest:

- Knowledge evolution frameworks
- Methodologies for KE and KM with a focus on change, refinement, and lifecycle
- Knowledge based collaboration, knowledge distribution, and evolution of knowledge
- Advanced knowledge modeling languages and tools with a focus on representing and reasoning about change
- Distributed AI, intelligent agents, multi-agent systems for ontology refinement in KE and change management in KM
- Biologically and socially inspired approaches for coping with the aspects of change and adaptability in machine intelligence

DEIS co-chairs

Costin Badica, Software Engineering Department, Faculty of Automatics, Computers and Electronics, University of Craiova,
Vadim Ermolayev, Department of IT, Zaporozhye National University, Ukraine,
Vagan Terziyan, Department of Mathematical Information Technology, Jyväskylä University, Finland,

Program Committee
Michael Cochez, Jyväskylä University, Finland
Maxim Davidovsky, Zaporozhye National University, Ukraine
Adina Magda Florea, University Politehnica of Bucharest,Romania
Marko Grobelnik, Jozef Stefan Institute and Quintelligence d.o.o., Slovenia
Giancarlo Guizzardi, Federal University of Espirito Santo (UFES), Brazil
Jason J. Jung, Yeungnam University, Korea
Natalya Keberle, Zaporozhye National University, Ukraine
Mark Lycett, Brunel University London, United Kingdom
Mihhail Matskin, Royal Institute of Technology (KTH), Sweden
Andriy Nikolov, Knowledge Media Institute, The Open University, United Kingdom
Hendrik Richter, Leipzig University of Applied Sciences, Germany
Vladimir Shekhovtsov, Alpen-Adria-Universität Klagenfurt, Austria