Semantic search engine Hakia has intensified its health and medical search coverage by adding more than 10 million abstracts from PubMed, a medical database maintained by the U.S. National Library of Medicine and the National Institutes of Health. The new service is available at Pubmed Search.
Compared to searching for documents on PubMed itself, hakia’s advanced technology saves time to reach relevant information. Using hakia’s advanced QDEX technology and semantic capabilities, the semantic search engine makes it easier to find current and historic medical and health documents dating back five years.
“PubMed documents, like many other credible databases, represent a unique challenge for search engines like Google, because popularity is simply not the right criteria for retrieving medical information,” said Dr. Riza C. Berkan, CEO of hakia.com. ”hakia’s semantic search technology is devoid of all such limitations that come with statistical methods. Instead, hakia’s algorithms search for the best contextual matches of the search query by using medical ontologies.
Pubmed Search is part of hakia Medical, which offers results that are credibility-stamped and as up-to-date as possible, using sources that have met the quality criteria set forth by the Medical Library Association.
