AMSTERDAM, December 13, 2010 /PRNewswire/ -- Elsevier (http://www.elsevier.com), a world-leading publisher of scientific, technical and medical information products and services, today announced that as a result of a partnership with WebLib (http://weblib.com/), a new application, HealthMash, is now available on SciVerse Applications beta (http://www.applications.sciverse.com/).

WebLib developed the HealthMash application to provide insights to scientific researchers with relevant biomedical concepts related to their searches including disorders, tests and diagnoses, treatments and drugs. The application uses a variety of semantic technologies and natural language processing tools. HealthMash is powered by WebLib's proprietary Health Knowledge Base, which is automatically generated from trusted health content sites, special semantic sources such as the National Library of Medicine's Medical Subject Headings Thesaurus, and the Unified Medical Language System as well as information from the Web.

"WebLib's HealthMash application is powered by our consumer Health Knowledge Base and our goal is to create a much larger Science Knowledge Base to support semantic search applications on SciVerse and the emerging Semantic Web," said Dr. Tamas Doszkocs, President and Chief Scientist, WebLib LLC.

The addition of HealthMash to the SciVerse Applications beta marketplace, which currently includes 17 applications, illustrates the capabilities of the new platform to advance the scientific search and discovery process. All applications in the market place are designed to improve researcher workflow and enhance the content within SciVerse.

"Our collaboration with WebLib, as well as other commercial and academic partners, aims to enhance researchers' productivity," explained Rafael Sidi, vice president of product management for Elsevier's Application Marketplace and Developer Network. "We look forward to expanding our collaboration with academic and commercial developers as well as providing additional innovative applications that will improve researchers' search and discovery experience."