hakia Boosts Semantic Search Capabilities
ADOTAS – Hypochondriacs – get psyched: there’s a new outlet for diagnosing a variety of ominous symptoms. hakia, a semantic search engine, announced that it has boosted its health and medical search capabilities with PubMed.
hakia said it has added 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 company said it hopes to benefit medical researchers, doctors, students and consumers by helping them reach more relevant info even more quickly.
“Non-semantic search engines often deliver incorrect information because they rank their findings by popularity,” Dr. Riza Berkan, hakia’s CEO and a former nuclear physicist, told ADOTAS. “Typically, about 90% of searchers stick with the first page of a search engine’s findings and the results are often wrong. We’ve been developing ontological technology since 2004 that processes Web pages and data in a way that will match what the searcher is looking for through conceptual means, not by popularity, so the results are more accurate.”
Berkan argues that semantic search will be a boon for interactive advertisers as well. “When we deploy our semantic ad system, the same principles will apply – our system will detect content on Web pages and match ads with a much higher precision, resulting in higher click-through rates.” hakia is in the process of developing and launching its ad system, so it does not have ironclad projections on how much higher those click-through rates will be.
The company was founded in 2004; so far, hakia has received about $21 million in funding from an international base of private investors.
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