The growing importance of electronic media for storing and exchanging text documents has led to a growing interest in tools and approaches for dealing with unstructured or semi-structured information included in the text documents. In addition to well-organized and maintained text databases, one of the important sources of textual information is the World Wide Web which is expected to continue to grow in the number of users and amount of information available. Connected to that is also a problem of Web Mining involving not only analysis of Web content but also Web structure and Web access. Semantic Web on the other hand can be seen as mainly dealing with integration of many, already existing ideas and technologies with the specific focus of upgrading the existing nature of web-based information systems to a more “semantic” oriented nature.

Our main Research topics are:

  • Artificial Intelligence
  • Machine Learning
  • Data-Mining, Text-Mining, Web-Mining, Multimedia Mining
  • Semantic Technologies
  • Social Network Analysis
  • Language Technologies, Natural Language Processing
  • Multi-lingual, Cross-lingual Technologies
  • Scalable, Real-time Data Analysis
  • Data Visualization
  • Knowledge Management
  • Knowledge Reasoning
  • Sensor Networks