Ontology management
Harmonise technology through scientific ontologies adhering to public standards, whilst creating and curating your own vocabularies
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Data cleansing + pre-processing
Connect to and import data sources, automate cleansing of semi-structured data and index data at the point of entry
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Text analytics + semantic enrichment
Transform text to data in a richly annotated, machine-readable format and standardise data formats
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Search + data intelligence
Semantic search, visualise results, integrate into your existing platforms and automate your workflows
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News and opinion
Stay up to date with the latest information from the SciBite team
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The benefits of Semantically Enriching document mining for Chemists
In this blog post, learn more about how our partner ChemAxon have integrated SciBite’s ultrafast named entity recognition (NER) and extraction engine solution, TERMite, into their leading cheminformatics platform, and how this can benefit your organisations informatics architecture.
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How to use Ontologies to unlock the full potential of your Scientific Data – Part 2
This blog post focuses on mapping, building and managing ontologies. In my previous blog, I described what ontologies are and how you can use them to make the best use of scientific data within your organisation. Here I’ll be expand upon this and focus on mapping, building and managing ontologies.
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