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ABSTRACT: With the ever increasing size of scientific literature, finding relevant documents and answering questions has become even
more of a challenge. Recently, ontologies—hierarchical, controlled vocabularies—have been introduced to annotate genomic data.
They can also improve the question and answering and the selection of relevant documents in the literature search. Search
engines such as GoPubMed.org use ontological background knowledge to give an overview over large query results and to answer
questions. We review the problems and solutions underlying these next-generation intelligent search engines and give examples
of the power of this new search paradigm.
KeywordsPubMed-Literature search-Ontology-Intelligent search
12/2008: pages 385-399;
Technische Universität Dresden
Dresden, Saxony, Germany