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SeMedico specifications

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

SeMedico citations

 (2)
library_books

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

2012
J Biomed Semantics
PMCID: 3337257
PMID: 22541593
DOI: 10.1186/2041-1480-3-S1-S2

[…] .ncbi.nlm.nih.gov/pubmed/), and various text mining techniques and algorithms (stemming, tokenization, synonym detection) for the identification of relevant ontology entities in PubMed abstracts, (b) semedico (http://www.semedico.org), which provides access to semantic metadata about abstracts indexed in PubMed using the JULIE Lab text mining engine (http://www.julielab.de) and MeSH as a knowledge […]

library_books

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

2011
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 […]


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

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