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Treffer: BioC Implementations in Go, Perl, Python and Ruby

Title:
BioC Implementations in Go, Perl, Python and Ruby
Source:
Liu, Wanli; Doğan, Rezarta Islamaj; Kwon, Dongseop; Marques, Hernani; Rinaldi, Fabio; Wilbur, W John; Comeau, Donald C (2014). BioC Implementations in Go, Perl, Python and Ruby. Database, 2014:bau059.
Publisher Information:
Oxford University Press 2014
Document Type:
E-Ressource Electronic Resource
Availability:
Open access content. Open access content
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Note:
application/pdf
info:doi/10.5167/uzh-107014
English
Other Numbers:
CHUZH oai:www.zora.uzh.ch:107014
https://www.zora.uzh.ch/id/eprint/107014/1/107014.pdf
info:doi/10.5167/uzh-107014
info:doi/10.1093/database/bau059
urn:issn:1758-0463
942503600
Contributing Source:
HAUPTBIBLIOTHEK UNIV OF ZURICH
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.ocn942503600
Database:
OAIster

Weitere Informationen

As part of a communitywide effort for evaluating text mining and information extraction systems applied to the biomedical domain, BioC is focused on the goal of interoperability, currently a major barrier to wide-scale adoption of text mining tools. BioC is a simple XML format, specified by DTD, for exchanging data for biomedical natural language processing. With initial implementations in C++ and Java, BioC provides libraries of code for reading and writing BioC text documents and annotations. We extend BioC to Perl, Python, Go and Ruby. We used SWIG to extend the C++ implementation for Perl and one Python implementation. A second Python implementation and the Ruby implementation use native data structures and libraries. BioC is also implemented in the Google language Go. BioC modules are functional in all of these languages, which can facilitate text mining tasks. BioC implementations are freely available through the BioC site: http://bioc.sourceforge.net.