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DFG project: Efficient Search in Very Large Text Collections, Databases, and Ontologies

DFG Priority Programme (Schwerpunktprogramm) Algorithm Engineering
Project ALG-IR: Efficient Search in Very Large Text Collections, Databases, and Ontologies
Erste Förderperiode, 11/2007 - 11/2008

"Search engines are a fascinating, multi-faceted field of research giving rise to a multitude of challenging algorithmic problems with a strong algorithm engineering component and of high practical relevance."


Goals


Next-generation search engines will cover the whole spectrum from keyword search on unstructured data over search in fully structured databases to semantic search on ontologies. The goal of this project is the design, analysis, implementation, and application of efficient data structures and algorithms for the underlying fundamental problems, in particular, space-efficient indexing and fast query processing. We will consider very large data sets, up to several terabytes in size, which do not fit into main memory. [more]


People


Holger Bast (project leader)
Marjan Celikik
Ingmar Weber
Markus Tetzlaff


Publications and Demos


Try one of various demos of our CompleteSearch engine: CompleteSearch DBLP, CompleteSearch Wikipedia, more demos ...

H. Bast, A. Chitea, F. Suchanek, and I. Weber. ESTER: Efficient Search in Text, Entities, and Relation, SIGIR'07

H. Bast and I. Weber. The CompleteSearch Engine: Interactive, Efficient, and Towards IR&DB integration, CIDR'07

H. Bast and I. Weber. Type Less, Find More: Fast Autocompletion Search with a Succinct Index, SIGIR'06

H. Bast, C. W. Mortensen, and I. Weber. Output-Sensitive Autocompletion Search, SPIRE'06