title: Natural language query in the biochemistry and molecular biology domains based on cognition search™.
abstract: BACKGROUND
  With the increasing volume of scientific papers and heterogeneous nomenclature in the biomedical literature, it is apparent that an improvement over standard pattern matching available in existing search engines is required. Cognition Search Information Retrieval (CSIR) is a natural language processing (NLP) technology that possesses a large dictionary (lexicon) and large semantic databases, such that search can be based on meaning. Encoded synonymy, ontological relationships, phrases, and seeds for word sense disambiguation offer significant improvement over pattern matching. Thus, the CSIR has the right architecture to form the basis for a scientific search engine.
  
  
  RESULTS
  Here we have augmented CSIR to improve access to the MEDLINE database of scientific abstracts. New biochemical, molecular biological and medical language and acronyms were introduced from curated web-based sources. The resulting system was used to interpret MEDLINE abstracts. Meaning-based search of MEDLINE abstracts yields high precision (estimated at >90%), and high recall (estimated at >90%), where synonym, ontology, phrases and sense seeds have been encoded. The present implementation can be found at http://MEDLINE.cognition.com.
  
  
  BACKGROUND
  Elizabeth.goldsmith@UTsouthwestern.edu Kathleen.dahlgren@cognition.com.
authors.affiliation: Department of Biochemistry, The University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Boulevard, Dallas, Texas 75390-8816.
authors.forename: Elizabeth J
authors.initials: EJ
authors.lastname: Goldsmith
authors.forename: Saurabh
authors.initials: S
authors.lastname: Mendiratta
authors.forename: Radha
authors.initials: R
authors.lastname: Akella
authors.forename: Kathleen
authors.initials: K
authors.lastname: Dahlgren