Our research covers both experimental and theoretical aspects of information systems. Our research fields may be divided into six main groups of interest. In practice the groups usually overlap and the research is carried out on the intersection of their topics.
Social Network (SN) is a structure of individuals tied by specific types of relationships. New sources of large amount of data for Social Network Analysis (SNA) became available with the dawn of social network services. The main, recent areas of our research in the domain of SN include:
Traditional Information Retrieval (IR) methods are roughly adequate for modern Web search and analysis. We focus on IR methodologies for current (Web 2.0) or even future (Web 3.0) search and analysis engines. The techniques range from link structure analysis to using social network relationship semantics. We use and research paradigms and technologies like:
Since its early days hypertext has been used in association with multimedia (hypermedia), therefore different types of multimedia information are key ingredients of Web-based information systems. Our research covers the following aspects of the information processing:
Large databases and data warehouses are used mainly for data mining, particularly from Web sites (Web mining). Our research areas include:
System performance and responsiveness are usually crucial issues for users, especially in Web environment. Constant system development should always be led in parallel with performance analysis. Our research in the field covers:
Modern e-learning (2.0) focuses mostly on Computer Supported Collaborative Learning (CSCL). Using moodle (StOPKa3) as a primary tool for teaching is a great incentive for us for exploring new techniques and applications of online collaboration. Research areas in this field include:
The results of our research are published in international journals and other serial forms listed on so called Philadelphia List. For full publication list see Publications page.