This paper addresses the problem of extending an adaptive information filtering system to make decisions about the novelty and redundancy of relevant documents. It argues that rel...
Term-weighting schemes are vital to the performance of Information Retrieval models that use term frequency characteristics to determine the relevance of a document. The vector spa...
In this paper, we describe our Computer Science Program Assessment (COMPASS) project. COMPASS uses open-source software tools to support the development and analysis of course por...
The success of the Semantic Web depends on the availability of ontologies as well as on the proliferation of web pages annotated with metadata conforming to these ontologies. Thus...
Philipp Cimiano, Siegfried Handschuh, Steffen Staa...
We recapitulate regular one-shot learning from membership and equivalence queries, positive and negative finite data. We present a meta-algorithm that generalizes over as many sett...