We present a method of searching text collections that takes advantage of hierarchrical information within documents and integrates searches of structured and unstructured data. W...
M. Catherine McCabe, Jinho Lee, Abdur Chowdhury, D...
In this demonstration paper we present MAPS, a novel system that combines approximate information retrieval and filtering functionality in a peer-to-peer setting. In MAPS, a user...
Christian Zimmer, Johannes Heinz, Christos Tryfono...
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...
The paper presents a semi-automated technique for feature location in source code. The technique is based on combining information from two different sources: an execution trace, ...
We present a new visualization approach for metadata combining different visualizations into a so-called SuperTable accompanied by a Scatterplot. The goal is to improve user exper...