This blog focuses on the use and value of Data Catalogs and Master Data Management tools, and how the additional layer of Semantics is required in order to truly see their value for enterprises looking to better manage their data.
ReadImplementing FAIR data principles in industrial life science research. Here's how some of the SciBite team got on at the FAIRplus SME and Innovation Forum.
ReadIn this blog, we delve into how we applied novel machine learning and curation methods to Japanese language literature, techniques we believe are transferable to other under-supported languages.
ReadOn the first day of Christmas SciBite gave to me... 12 top tips for creating labelled Machine Learning training data.
ReadCambridge, 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.
ReadLast 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.
ReadThis 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.
ReadIn 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.
ReadIn this blog post SciBite's CSO and Founder Lee Harland addresses a very common question we are often asked by potential customers and partners...
ReadPerfect for those new to bio-ontologies or who work with ontologists - a whole new vocabulary deciphered!
ReadAward-winning life science technology provider acquires exciting semantic data management startup
ReadOne 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.
ReadSir 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.
ReadGet in touch with us to find out how we can transform your data
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