New Site Search Engine Allows Easier, More Efficient Navigation of MedlinePlus and NLM Web Site
This is great news. We are big fans of Vivisimo technology around these parts.

On Thursday, October 11, the National Library of Medicine released a new search engine for MedlinePlus, MedlinePlus en español and the NLM Library Web site. NLM has made this change to better meet the expectations and preferences of the millions of people who use NLM Web sites each month.

After extensive research, NLM selected search engine software from the Pittsburgh-based company Vivisimo. Vivisimo is also the current search solution for the www.usa.gov site (formerly FirstGov), which contains online information from the entire spectrum of U.S. government agencies.

The new search results feature enhanced relevance rankings and boldface search words in context, to help users select the best Web documents for their queries. An integrated spell checker suggests alternative search terms and spelling corrections.

The new search engine also expands queries using synonyms specific to the sites and medical synonyms from the NLM Unified Medical Language System (UMLS).

To access the the new engine, look for the search box on most NLM pages.
Here’s a results page. Notice:
1) The source at the bottom of each listing
2) Results organized by collection
In some cases, a search might also provide direct links to NLM Selected Resources

Source: NLM

See Also: If some of this Vivisimio and medical info searching sounds vaguely familiar, kudos. For several years Vivisimo has offered ClusterMed.info (both free and fee-based) and BioMetaCluster that clusters results from PubMed, ClinicalTrials.gov, FDA Web, FDA: CDER, and several other sources.

See Also: A second UI for BioMetaCluster
Here you can dynamically cluster results from the TRIP Database, Harrison Direct, PubMed@NIH, and the MerckManual

See Also: One final note on searching PubMed with ClusterMed.info. Because of the metadata associated with each Pubmed citation, notice the various ways of dynamically clustering the results. The power of good metadata. You can cluster by words in the:
+ Title, Abstract, and Medical Subject Heading (MESH)
+ Title, Abstract only
+ MESH only
+ Authors name only
+ Affiliation only
+ Date of Publication only
Here’s an example search that shows these various clusters.

See Also: Vivísimo Debuts Social Search for the Enterprise with Velocity 6.0

This entry was posted on Friday, October 12th, 2007 at 12:59 am and is filed under Info Management and Retrieval, Information Industry, Libraries and Librarianship, Search News. You can follow any responses to this entry through the RSS 2.0 feed. Responses are currently closed, but you can trackback from your own site.