Contribution to Book
GoPubMed: Exploring PubMed with Ontological Background Knowledge
Bioinformatics for Systems Biology
(2009)
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.
Keywords
- PubMed,
- Literature search,
- Ontology,
- Intelligent search
Disciplines
Publication Date
2009
Editor
Stephen Krawetz
Publisher
Humana Press
ISBN
9781597454407
DOI
10.1007/978-1-59745-440-7_20
Citation Information
Heiko Dietze, Dimitra Alexopoulou, Michael R. Alvers, Liliana Barrio-Alvers, et al.. "GoPubMed: Exploring PubMed with Ontological Background Knowledge" Bioinformatics for Systems Biology (2009) Available at: http://works.bepress.com/william-andreopoulos/36/