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Intelligent Systems Laboratory   Technical University of Crete 
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Research

INTELLIGENT AGENTS
We are interested in the theory and practice of intelligent agents. We have applied our results to the following applications: Information retrieval,Information dissemination over wide-area networks, Electronic commerce, Peer-to-Peer Computing, Business Process Modelling and Design. This work is done in the context of project DIET funded by the European Community under IST/FET. [Read more]
 
PEER-TO-PEER AND GRID COMPUTING
We are interested in the new and exciting area of P2P and Grid computing. Our work on P2P computing is done in the context of project DIET and utilises ideas from agent systems, distributed computing, natural ecosystems and economics. Our work on Grid computing emphasizes aspects similar to the ones we study for P2P computing (e.g., resource allocation), but we are also especially interested in the role of Grid computing in bioinformatics. Our work on bioinformatics is currently funded by project BRIDGEMAP. [Read more]
 
BIOINFORMATICS
The research of our group in bioinformatics aims at the development of tools that manage biological data and assist biologists in their research. To do this, we utilize our expertise in modern technologies such as data and knowledge-base management systems, intelligent agents, P2P computing and computational grids. Currently we are developing the bioinformatics toolkit for the comparative genomics project BRIDGEMAP. [Read more]
 
DATA AND KNOWLEDGE-BASE SYSTEMS
The Knowledge Representation Language Telos. The Scheme of Indefinite Constraint Databases. Spatial and Temporal Database Management. [Read more]
 
CONSTRAINT PROGRAMMING
Cardinal Direction Constraints. Tractable Disjunctive Constraints. Temporal Disjunctive Constraints. The Scheme of Indefinite Constraint Databases. [Read more]
 
MULTIMEDIA, MEDICAL AND WEB INFORMATION SYSTEMS
Information systems technology with emphasis on the management (processing, information extraction, dissemination and retrieval) of complex information. As such, a database is not only considered from a standalone perspective; its strength lies in its potential association with other technological approaches e.g., web, content-based approaches. [Read more]
 
SEMANTIC WEB
Our work aims at enhancing the capabilities of state-of-the-art information systems and their support for information analysis and reasoning by exploiting the time dimension in the information possessed. Knowledge is being interpreted through Time Determined Ontology (TDO) models encoding concepts and relationships acquired by experts and by data analysis. It is developed based on state-of-the-art natural language processing, data analysis (including signal and image analysis) and semantic web technology (e.g., OWL, OWL reasoners, query languages) thus exploiting leading edge technology in knowledge management. [Read more]
 
NATURAL LANGUAGE PROCESSING (NLP) AND INFORMATION EXTRACTION
Information extraction from text sources, mining concepts and relationships for ontology construction in information systems design and development. This work permits informal textual descriptions of multimedia content to be effectively used in retrieval, and obviates the need for generating structured metadata. Informal descriptions require significantly less human labor than structured descriptions. This work permits enables also knowledge interpretation through ontologies and ontology-based and web-search engines. [Read more]
 
ACCESS METHODS FOR IMAGES AND VIDEO
Information retrieval, Information systems, Multimedia information systems, Web Information systems, Image/Spatial Databases, Image content analysis, Image indexing, Retrieval by image content. [Read more]
 
APPLICATIONS OF COMPUTER VISION
Image / video processing and compression, Image / Video content analysis and description (e.g., motion analysis, shape analysis, object tracking), Pattern recognition. Design and analysis of Inspection Systems; Panoramic image generation; Real-time implementation of integrated imaging systems on DSP boards. [Read more]
 
MACHINE LEARNING
Research in various aspects of machine learning with emphasis on reinforcement learning, whereby an agent learns how to act rationally in an unknown environment through trial and error. [Read more]
 
ROBOTICS
Research in autonomous robotics with emphasis on probabilistic methods and algorithmic aspects. Our lab is the home of the RoboCup team Kouretes (www.kouretes.gr). [Read more]
 
ARTIFICIAL INTELLIGENCE
Research in modern areas of Artificial Intelligence, including Game Playing, Intelligent Search, Probabilistic Reasoning, and Auction-Based Coordination. [Read more]
 
 

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