Semantic search engine hakia has announced 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. With the addition of the PubMed documents, hakia seeks to provide 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 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.
