WebLib, a small international technology startup of experts in information retrieval, natural language processing and medical informatics, recently released NLMplus, a semantic search and knowledge discovery application that utilizes a variety of semantic resources and natural language processing tools to produce improved search results from the vast collection of biomedical data and services of the National Library of Medicine (NLM).
A common challenge in medical libraries, biomedical research institutions and the healthcare industry is flexible access to heterogeneous databases. NLMplus makes synergistic use of a variety of novel solutions and technologies to maximally utilize NLM’s downloadable data sets, APIs, web services and software tools.
A major innovation of NLMplus is WebLib’s Semantic Search Engine, which typically produces relevant search results with improved precision and recall from 1.6 million PubMed Review articles that are semantically indexed and searched on a WebLib server. The NLMplus application also sends conceptually enhanced Boolean queries to NLM’s PubMed system of more than 21 million citations from the biomedical literature, life science journals, and online books.
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NLMplus, Semantics for Better Results in Search and Discovery originally appeared on Highlight HEALTH 2.0.
Highlight HEALTH is a new media news organization that promotes advances in biomedical research and new ideas in health and medicine.
