#ESWC2017 #GFBio #SemanticSearch
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Biological data are growing rapidly in amount and size. We are dealing with research data from scientists all over the world. Common names in different languages, scientific names, and relevant terms are hardly connected via traditional keyword-based search engines.
Let’s look at this example: a honey bee is living happily until one day, a scientist comes and calls him a “Apis Mellifera”. His owner calls him a “honingbij”. And we call him a “honey bee”.
Suppose that he doesn’t mind what we call him. But when a publication about him is published online by the scientist, the bee’s owner can’t find that paper.
A semantic search jumps in and explains, “honingbij” is a western honey bee, which has a scientific name “Apis Mellifera”. They refer to the same honey bee.
Now we can get the information we need, and learn more about the different ways to call a honey bee. Why don’t we try some more? – gfbio.org/semantic-search
Adapted from a paper:
Honey bee vs Apis mellifera: A semantic search for biological data
Authors: Felicitas Löffler, Naouel Karam, Kobkaew Opasjumruskit, David Fichtmüller, Uwe Schindler, Friederike Klan, Claudia Müller-Birn, Michael Diepenbroek
Narrator: Al J. Kupetz
Special thanks to: DFG, GFBio, Birgitta König-Ries, and Christoph Rzymski
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