- From: Aditya Kalyanpur <adityak@gmail.com>
- Date: Wed, 16 Apr 2008 10:40:44 -0400
- To: public-owl-dev@w3.org
Hi, 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: http://anatomylens.alphaworks.ibm.com/AnatomyLens/AnatomyLensVideo/AnatomyLensVideo.html 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 http://www.research.ibm.com/people/a/adityakal
Received on Wednesday, 16 April 2008 14:48:35 UTC