Knowledge Source Identification
Knowledge source name GoPubMed
Owner/Developer Transinsight GmbH
Country Germany
Languages English
Contact email
Description GoPubMed® allows users to find information significantly faster and guarantees completeness of search results. The fundamental difference between GoPubMed’s® semantic search technology and traditional search engines such as PubMed or Google is the use of background knowledge. Semantic algorithms connect text – abstracts from the MEDLINE database – to background knowledge in the form of semantic networks of concept categories, also called ontologies or knowledge base. This is done by meaning and not by keywords only. So results are meaningfully structured and intelligent semantic navigation becomes possible. The concept categories come from the Gene Ontology (GO), the Medical Subject Headings (MeSH), the Universal Protein Resource (UniProt), Authors, Locations, Journals, and Publication Dates. In GoPubMed® the user does the ranking. Examples below clearly demonstrate this semantic power.
Knowledge Source Category
Category Information System
Sub categories Knowledge-base, Online tool / Search engine
Knowledge Dissemination and Sharing
Dissemination channel Website
Targeted audience (specified/objective analysis) Not specified
Users access Open access
Knowledge Characterization
3Rs relevance Replacement, Reduction, Refinement
Purpose Documentation and information