Semantic MEDLINE Prototype
I have to use Pubmed several times every day and in most cases I have to switch to Google Scholar as I think that is really user-friendly and I can customize my search queries more easily. Although, I would love to do the same with Pubmed. Well, the Semantic MEDLINE Prototype which is a research and development project of the Cognitive Science Branch, Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine might solve my problems in the near future:
Semantic MEDLINE is a prototype Web application that summarizes MEDLINE citations returned by a PubMed search. Natural language processing is used to analyze salient content in titles and abstracts. This information is then presented in a graph that has links to the MEDLINE text processed.
Currently, the results from 35 PubMed searches (including a variety of disorders and drugs) are available to be processed. The 500 most recent citations (from the date of the search) are available for further processing by Semantic MEDLINE.
I just did a search for “Breast Cancer (clinicaltrials.gov), top 500 recruiting studies”:
I think this was an old research project that didn’t move forward in development… note how the “500 most recent citations” are within preformatted ranges ending in August 17, 2007?
It would be nice if it was still up for reference but a more clear notation about it not being current or an archive banner across the top. I’m curious as to how you found it
Thanks, Nikki, for the info! I wish it was an ongoing and active project.
I’m really interested to know why you prefer Google scholar to Pubmed? I did try it out my self some while ago but my conclusion was just the opposite – Pubmed’s advanced search was way more advanced and so I sticked to it. GS for example doesn’t do semantic searching (based on MESH) and has much less possibilities in combining search words, aka creating an advanced search?
Greetings!
David, emergency physician Sweden
ps I’m leaving the url of my new blog I’ve just started – I’ll be writing mainly about using IT in medicine
In some cases, I would like to find out which are the most relevant papers focusing on a few search terms. I think Scholar is better in this aspect. It’s maybe because I’ve done a lot more Google searches in my life than Pubmed searches and I just got used to its system.
emm… the URL is in the link, not visible but it’s
http://pricelesselectricalactivity.blogspot.com
This is a very active project. The portal that you are using is a demo.
A few recent papers:
http://pathema.jcvi.org/Pathema/presentations/kilicoglu2008.pdf
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2815384/
http://www.aaai.org/ocs/index.php/FSS/FSS10/paper/viewFile/2272/2682