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2015
Springer

Improving search results in life science by recommendations based on semantic information

3 years 7 months ago
Improving search results in life science by recommendations based on semantic information
: The management and handling of big data is a major challenge in the area of life science. Beside the data storage, information retrieval methods have to be adapted to huge data amounts as well. Therefore we present an approach to improve search results in life science by recommendations based on semantic information. In detail we determine relationships between documents by searching for shared database IDs as well as ontology identifiers. We have established a pipeline based on Hadoop allowing a distributed computation of large amounts of textual data. A comparison with the widely used cosine similarity has been performed. Its results are presented in this work as well.
Christian Colmsee, Jinbo Chen, Kerstin Schneider,
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where BTW
Authors Christian Colmsee, Jinbo Chen, Kerstin Schneider, Uwe Scholz, Matthias Lange
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