Genre conventions emerge across discourse communities over time to support the communication of ideas and information in socially and cognitively compatible forms. Digital genres ...
Previous works on information extraction from tables make use of prior knowledge such as a cognition model of tables or lexical knowledge bases for specific domains. However, we ...
Navigation in computer generated information spaces may be difficult, resulting in users getting “lost in hyperspace.” This work aims to build on research from the area of ci...
Web 2.0 has enabled end users to collaborate through their own developed artifacts, moving on from text (e.g., Wikipedia, Blogs) to images (e.g., Flickr) and movies (e.g., YouTube...
Navid Ahmadi, Alexander Repenning, Andri Ioannidou
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...