TASK MINING from CROWD BEHAVIOUR

01.03.2011 - 31.07.2013
Research funding project
The Web is constantly evolving. Rich Internet applications turn the Web from a collection of documents into a network of complex applications. Moreover, the way how the Web is consumed is changed due to the advent of social platforms, "consumer as producer" mash-ups, browser access form a wide range of devices, and new strategies how to find relevant information automatically, to name a few. We believe that TAMCROW will provide essential contributions to respond to this evolvement. To tackle the new challenges on the Web profoundly, it is absolutely necessary to perceive these evolvements from a web science perspective. Hence, TAMCROW develops and proposes a model for concretely describing user behaviour of different crowds on the Web. The created model will be applicable to a number of usage scenarios of user agents in these crowds. The generation of the model will primarily be based on use cases from web accessibility, mobile browsing, web personalization, and automatic deep web traversal. Prototypes will be developed on top addressing needs of blind users, targeting content and state repackaging for mobile devices, introducing personalized trails through the web jungle, and automating deep web extraction with focussed spidering techniques.

People

Project leader

Project personnel

Institute

Grant funds

  • FFG - Österr. Forschungsförderungs- gesellschaft mbH (National) Austrian Research Promotion Agency (FFG)

Research focus

  • Computational Intelligence: 100%

Keywords

GermanEnglish
Data miningData mining
User behaviourUser behaviour

External partner

  • Lixto Software GmbH

Publications