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AnatomyLens a semantic search engine on PubMed articles

From: Kavitha Srinivas <ksrinivs@gmail.com>
Date: Wed, 16 Apr 2008 08:50:41 -0400
To: public-semweb-lifesci hcls <public-semweb-lifesci@w3.org>
Message-Id: <C6048F7D-D6CD-49C3-B853-B7F490212F0F@gmail.com>
In the spirit of the HCLS Banff demo, AnatomyLens provides a search  
over annotations of PubMed articles and GOA annotations using the GO  
(gene ontology) and FMA (Foundational Model of Anatomy) ontologies.   
Here's a brief description:

Anatomy Lens is a search engine that helps scientists hone in on  
PubMed articles most relevant to their research. Users enter anatomy  
terms, MeSH terms, and biological processes as search keywords.  
Anatomy Lens is more precise and has better recall than text search.  
For example, for the query Alzheimer's, brain, neuron development,  
Anatomy Lens will match Alzheimer's articles that discuss dendrite  
development in the hippocampus, whereas a standard text search will  
only find articles containing the queried keywords explicitly and  
might also find articles that are unrelated (such as articles about  
neuron development in the spine).

Here's a URL to try it: https://services.alphaworks.ibm.com/anatomylens/

Here's a URL demonstrating the basics of AnatomyLens: http:// 
anatomylens.alphaworks.ibm.com/AnatomyLens/AnatomyLensVideo/ 
AnatomyLensVideo.html

Any feedback/comments are welcome.  Thanks!

Kavitha Srinivas
IBM Research, SHER OWL reasoning project.
Received on Wednesday, 16 April 2008 12:51:33 UTC

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