A semantic health search application in SciVerse
SciVerse, the latest release of Elsevier which is now used by 15 millions of users worlwide, has released a new application de dedicated to improve the search experience.
HealthMash, by Weblib, utilizes proprietary natural language processing and semantic technology tools and resources in order to find highly relevant, reliable and recent health information from the most trusted sources and facilitate focused user exploration and discovery.
- vertical semantic search (Trusted Health Information, MeSH)
- federated search (Health News, Videos, etc.),
- semantic synthesis with mouse-over contexts for exploration and discovery (Related Concepts, Health Concerns, Tests and Treatments),
- and TABLE OF CONTENTS and TOPIC CLUSTERS for drill down in search results and dynamic query modification.
By explicitly identifying facets of particular interest to users: disorders, signs/symptoms, tests and diagnosis, treatments/procedures, drugs and their side effects, interactions/contraindications, and alternative medicine approaches; the user is presented with the most recent, reliable and comprehensive information on their query/topic.