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| Samuel Croset. |
| Integration of the scientific literature into a biomedical research infrastructure requires the processing of the literature, identification of the contained named entities (NEs) and concepts, and to represent the content in a standardised way.
The CALBC project partners (PPs) have produced a large-scale annotated biomedical corpus with four different semantic groups through the harmonisation of annotations from automatic text mining solutions (Silver Standard Corpus, SSC). The four semantic groups were chemical entities and drugs (CHED), genes and proteins (PRGE), diseases and disorders (DISO) and species (SPE). The content of the SSC has been fully integrated into RDF Triple Store (4,568,678 triples) and has been aligned with content... |
| Tipo: Presentation |
Palavras-chave: Bioinformatics. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/5383/version/1 |
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| Samuel Croset; Christoph Grabmüller; Chen Li; Silvestras Kavaliauskas; Dietrich Rebholz-Schuhmann. |
| Background
Integration of the scientific literature into a biomedical research infrastructure requires the processing of the literature, identification of the contained named entities (NEs) and concepts, and to represent the content in a standardised way. Little efforts have been spent on the integration of content from the literature text into RDF Triple Stores.
The CALBC project partners (PPs) have produced a large-scale annotated biomedical corpus with four different semantic groups through the harmonisation of annotations from automatic text mining solutions, the first version of the Silver Standard Corpus I (SSC-I). The four semantic groups were chemical entities and drugs (CHED), genes and proteins (PRGE), diseases... |
| Tipo: Presentation |
Palavras-chave: Bioinformatics. |
| Ano: 2011 |
URL: http://precedings.nature.com/documents/5383/version/2 |
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| Dietrich Rebholz; Samuel Croset; Christoph Grabmueller. |
| Scientific literature is the primary resource for relevant and innovative information. The integration of the literature with other data resources in the biomedical research community generates overhead that can be avoided through the used of Semantic Web Technology generating openly accessible data. Projects such as SESL and CALBC have producted significant amount of data that that are ready for exploitation.
The tutorial will teach different approaches on how to integrate the scientific literature with the content from biomedical databases, and will discuss the inferences that can be achieved. Furthermore, the tutorial will point to the resources that are ready for use and enable integration of the literature at your discretion. A good... |
| Tipo: Presentation |
Palavras-chave: Biotechnology; Immunology; Bioinformatics; Data Standards. |
| Ano: 2012 |
URL: http://precedings.nature.com/documents/7011/version/1 |
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