Submitted by yip4002 on November 24, 2020 - 10:32pm
Title | BioC interoperability track overview |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Comeau DC, Batista-Navarro RTheresa, Dai H-J, Doğan RIslamaj, Yepes AJimeno, Khare R, Lu Z, Marques H, Mattingly CJ, Neves M, Peng Y, Rak R, Rinaldi F, Tsai RTzong-Han, Verspoor K, Wiegers TC, Wu CH, W Wilbur J |
Journal | Database (Oxford) |
Volume | 2014 |
Date Published | 2014 |
ISSN | 1758-0463 |
Keywords | Biomedical Research, Computational Biology, Data Mining, Database Management Systems, Databases, Factual, Internet, Natural Language Processing, Software |
Abstract | BioC is a new simple XML format for sharing biomedical text and annotations and libraries to read and write that format. This promotes the development of interoperable tools for natural language processing (NLP) of biomedical text. The interoperability track at the BioCreative IV workshop featured contributions using or highlighting the BioC format. These contributions included additional implementations of BioC, many new corpora in the format, biomedical NLP tools consuming and producing the format and online services using the format. The ease of use, broad support and rapidly growing number of tools demonstrate the need for and value of the BioC format. Database URL: http://bioc.sourceforge.net/. |
DOI | 10.1093/database/bau053 |
Alternate Journal | Database (Oxford) |
PubMed ID | 24980129 |
PubMed Central ID | PMC4074764 |
Grant List | R01 ES014065 / ES / NIEHS NIH HHS / United States / / Intramural NIH HHS / United States |