Articles tagged: Clean data

  1. SciBite brings together world’s top life science leaders for annual User Group Meeting

    Cambridge, UK – SciBite, the award-winning semantic technology company, recently hosted its annual User Group Meeting at the Wellcome Genome Campus in Cambridge UK, where discussions around ontologies, deep learning and FAIR data dominated the day.

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  2. SciBite gathers ‘clean data’ inspired life science leaders at US-based customer meeting

    Last week SciBite hosted its annual US-based customer meeting in Boston MA, gathering representatives from 12 of the world’s major life sciences organisations and sparking ‘clean data’ discussions.

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  3. 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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  4. How to use Ontologies to unlock the full potential of your Scientific Data – Part 1

    In the first of this two-part blog, I describe what ontologies are and how you can use them to make the best use of scientific data within your organisation.

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  5. The SciBite difference – It’s all about your data

    In this blog post SciBite's CSO and Founder Lee Harland addresses a very common question we are often asked by potential customers and partners...

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  6. A Hacker’s Guide to Understanding Bio-ontology Jargon

    Perfect for those new to bio-ontologies or who work with ontologists - a whole new vocabulary deciphered!

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  7. SciBite Acquires FactBio

    Award-winning life science technology provider acquires exciting semantic data management startup

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  8. High Performance Ontology Engineering

    One of the key aims of SciBite is to help our customers work with public ontologies in text mining applications. While these ontologies are very valuable resources, they are often built for the purpose of data organisation, not text mining.

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  9. The 5 Star of Structured Data

    Sir Tim Berners-Lee, the creator of the Internet, defined a 5-star deployment scheme for open data. In recent customer discussions, we’ve talked about a similar scheme to describe the status of data across their organisation and how text analytics can help contextualise unstructured data.

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