Trailist - Trail-based Information Systems

  • Reich, Siegfried (PI)

Project: Funded researchFWF - Austrian Science Fund

Project Details

Description

People are confronted with ever growing amounts of information. This makes it increasingly difficult to navigate vast information spaces in order to find appropriate information. Basing access to and retrieval of information on user trails would allow people not only to better manage their personal information spaces but also to ask questions such as "where do other people go from here", "what else should I read?" or "how did we come to that conclusion?". As a consequence, users could manage their individual information spaces more efficiently. Furthermore, the fact that trails are built with information about the users' browsing paths and activities makes them well suited for collaborative applications where users with similar interests are to be matched. Trailist will build an open framework for supporting trail-based information access. Its name indicates that, similar to the way "Tour-ists" travel on tours, "Trail-ists" make their ways through vast information spaces. Trailist proposes to build an open framework that will support the construction of trail-based applications. Besides building the framework, the primary goals of the project include addressing the issues of acquisition of trail data and processing of trail data. The usability of the framework and the concept of user trails will be evaluated by building two sample application prototypes and by an end-user evalutation. Keywords: User Trails, Collaborative Work, Social Navigation, Component-based Open Hypermedia Systems (CB-OHS), Software Agents
StatusFinished
Effective start/end date01.02.200031.01.2002

Funding

  • FWF - Austrian Science Fund

Fields of science

  • 101031 Approximation theory
  • 102 Computer Sciences
  • 305901 Computer-aided diagnosis and therapy
  • 102033 Data mining
  • 102032 Computational intelligence
  • 101029 Mathematical statistics
  • 102013 Human-computer interaction
  • 305905 Medical informatics
  • 101028 Mathematical modelling
  • 101027 Dynamical systems
  • 101004 Biomathematics
  • 101026 Time series analysis
  • 101024 Probability theory
  • 202017 Embedded systems
  • 202037 Signal processing
  • 102019 Machine learning
  • 305907 Medical statistics
  • 103029 Statistical physics
  • 202036 Sensor systems
  • 102018 Artificial neural networks
  • 202035 Robotics
  • 106005 Bioinformatics
  • 106007 Biostatistics
  • 101019 Stochastics
  • 101018 Statistics
  • 101017 Game theory
  • 102001 Artificial intelligence
  • 101016 Optimisation
  • 102004 Bioinformatics
  • 101015 Operations research
  • 102003 Image processing
  • 101014 Numerical mathematics

JKU Focus areas

  • Digital Transformation