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[Announce] IBM AnatomyLens: Semantic Search over PubMed

From: Aditya Kalyanpur <adityak@gmail.com>
Date: Wed, 16 Apr 2008 10:40:44 -0400
Message-ID: <7be0dac60804160740t6e72b325h4620fd4ea6834f44@mail.gmail.com>
To: public-owl-dev@w3.org


I am a researcher at IBM Research working on SHER [1], a highly
scalable OWL reasoner.  We've recently released an IBM Alphaworks
service known as AnatomyLens (based on SHER) which provides 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:

Any feedback/comments are welcome.  Thanks!

[1] http://domino.research.ibm.com/comm/research_projects.nsf/pages/iaa.index.html

Aditya Kalyanpur
Intelligent Application Analysis
IBM TJ Watson Research Center
Hawthorne NY
Received on Wednesday, 16 April 2008 14:48:35 UTC

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