Leading Semantic Search Engine Adds More Than 10 million PubMed Abstracts, Enabling Users to Find Credible Health Information Easier and Faster than
with Current Search Technologies
NEW YORK, June 12 /PRNewswire/ -- hakia, the Web's leading general semantic search engine, announced today that it has increased 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. Using its advanced QDEX technology and semantic capabilities, hakia makes it easier to find current and historic medical and health documents dating back five years. The PubMed search is now available at http://pubmed.hakia.com.
Medical researchers, doctors, students, and consumers can now benefit from more transparent and accurate PubMed searches via hakia's powerful semantic technology. Compared to searching for documents on PubMed itself, hakia's advanced technology saves time to reach relevant information, which is displayed as more transparent.
"If anything, hakia's PubMed search can bring results that you didn't know existed," said Dr. John Boockvar, Alvina and Willis Murphy Assistant Professor of Neurological Surgery at Weill Cornell Medical College, "hakia's addition of PubMed articles is the right direction toward more efficient search of medical information, which is critical to timely progress in medical research."
The addition of the PubMed documents demonstrates hakia's commitment to providing users with the most accurate, credible and useful health content online. hakia 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.
"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 searches can be conducted using hakia's exclusive PubMed search at http://pubmed.hakia.com, as part of hakia's medical search at http://medical.hakia.com, or as part of the general search engine itself -- http://www.hakia.com.
hakia is a pioneer in the semantic search space and is currently in the late stages of developing technology with the potential to revolutionize the search industry. Founded in 2004, hakia is privately held and based in New York City. For more information about hakia, please visit http://www.hakia.com.
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