The value of extracting knowledge from semi-structured data is readily apparent with the explosion of the WWW and the advent of digital libraries. This paper proposes a versatile ...
Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheue...
Inspired by biological findings, we present a system that is able to robustly identify a large number of pre-trained objects in realtime. In contrast to related work, we do not res...
Stephan Hasler, Heiko Wersing, Stephan Kirstein, E...
Information systems support data privacy by constraining user's access to public views and thereby hiding the non-public underlying data. The privacy problem is to prove that ...
This paper describes ongoing work on a domainretargetable reverse engineering environment which is used to aid the structural understanding of large information spaces. In particu...
Drawing on a growing database of systematic relationships between word-senses, the authors argue that a significant class of these represent Lexical Implication Rules, a set of fo...