SeMedico specifications


Unique identifier OMICS_07950
Name SeMedico
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes

SeMedico citations


A Maximum Entropy approach for accurate document annotation in the biomedical domain

J Biomed Semantics
PMCID: 3337257
PMID: 22541593
DOI: 10.1186/2041-1480-3-S1-S2

[…], and various text mining techniques and algorithms (stemming, tokenization, synonym detection) for the identification of relevant ontology entities in PubMed abstracts, (b) semedico (, which provides access to semantic metadata about abstracts indexed in PubMed using the JULIE Lab text mining engine ( and MeSH as a knowledge […]


PubMed and beyond: a survey of web tools for searching biomedical literature

PMCID: 3025693
PMID: 21245076
DOI: 10.1093/database/baq036

[…] nrichment by identifying gene/protein, disease and other biomedical entities from the text. In addition, AliBaba also presents co-occurrence results in a graph.iHop (), Chilibot (), PolySearch () and Semedico () are four representative systems that focus on mining associations between special topics (disobey selection criterion #2 which requires systems to handle general topics). iHop and Chilibot […]

SeMedico institution(s)
Jena University Language and Information Engineering (JULIE) Lab, Friedrich-Schiller-Universität Jena, Jena, Germany

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