Databases and Knowledge Discovery
the data deluge, fueled by the maturing of database technology and the development of advanced automated data collection tools and,
the starvation for knowledge, defined as the need to filter and interpret all these massive data volumes stored in databases, data warehouses and other information repositories.
Intelligent Agents can be considered as software entities, which enjoy a set of characteristics such as autonomy, communication, mobility and proactiveness. Agents are also capable of exhibiting intelligent abilities and behaviors within the context of agent societies. Multi Agent Systems (MAS) are therefore a showcase of autonomous, intelligent entities which interact in order to achieve either individual contradicting goals (competitive MAS) or a common global goal (collaborative MAS).
The advent of Internet and accompanying networking infrastructures has significantly contributed to the development of electronic commerce today. As more computational and networking resources become available to the users, electronic transactions move to more sophisticated ways of process automation. Autonomous agents that participate in online trading environments with the goal to increase revenue for humans, represent such an advanced paradigm of process automation. Designing effective bidding strategies for agents that participate in uncertain competitive auction environments, is typically based on the optimization of an objective function of the profit or savings they materialize. As uncertainty increases in the environment, the development of appropriate heuristics becomes a compulsory task for trading agent design.
Bioinformatics provide all the tools and methodologies to support the need for computation and knowledge extraction of biological data. Research in this domain aims at performing an analysis of genetic/genomic information in order to predict or precisely determine biological functions. For this purpose, many sciences from different domains are combined, such as Genomics, Informatics, Drug Design, Molecular Biology, Statistics, Phylogenetics, etc.
Environmental Informatics (short term: Enviromatics) is an integral part of Applied Informatics that provides methodological support for using computers in order to protect the environment. In this context methods, techniques and tools from computer science are employed in order to analyze, support and establish information processing procedures for the exploration, avoidance and constraint of the degradation and destruction of the natural environment.
Facilities to put machine-understandable data on the Web are becoming a high priority for many communities. The Web can reach its full potential only if it becomes a place where data can be shared and processed by automated tools as well as by people. For the Web to scale, tomorrow’s programs must be able to share and process data even when these programs have been designed totally independently. This is the vision of the Semantic Web. The idea of having data on the web defined and linked in a way that it can be used by machines not just for display purposes, but for automation, integration and reuse of data across various applications.
Software Engineering consists of tools, models and methodologies used to describe and manage large software project. As software systems become more and more complex, it is necessary to follow clearly defined methodologies and models to capture and display different types of information on a particular project.
Social Media and Social Network Analysis
The World Wide Wed has recently transformed from a read-only Web to a read-write Web. Users can now actively participate in sites like Facebook, Wikipedia, flickr and blogs. These collaborative efforts interconnect people, as well as people with context, creating new types of networks that are easily accessible via web technologies. The analysis of these networks is a challenging research topic involving social network analysis and mining techniques (data mining, graph mining, text mining).
Energy Stock Market
Up until recently, in most EU countries (Greece included), power supply was a physical monopoly, thus the establishment of a state or state-controlled administration department that would be responsible for producing, transferring and distributing, was justified. However, the advancement to more loose economic competition models has signified the cease of this physical monopoly, as far as the production and the distribution of energy are concerned.