Intelligent semantic queries of MEDLINE and the biomedical literature
Clinical Cases and Images - Blog - The blog of ClinicalCases.org: medicine and social medianovo|seekMEDIE - Semantic retrieval engine for MEDLINEMEDIE is an intelligent search engine to retrieve biomedical correlations from MEDLINE, based on indexing by Natural Language Processing and Text Mining techniques. You can find abstracts/sentences in MEDLINE by specifying semantics of correlations; for example, "What activates p53" and "What causes colon cancer". Semantic search is to use a semantic query for finding biomedical correlations. Input a subject, a verb, and an object of a concept (or either of them) into a form. Results of the query will be shown in a second. Examples: "What does p53 activate?" A GCL query is directly passed to a GCL server. The customization of the number of results is available as in Semantic Search. A list of GCL operators: Go to top This system is provided by the Tsujii Laboratory "AS IS" without warranty of any kind. This system is built on the Medline database leased from the National Library of Medicine [NLM]. NLM represents that its data were formulated with a reasonable standard of care.