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SciBite Virtual User Group Meeting 2021: What we discovered
Cambridge, UK – SciBite, the award-winning semantic technology company, recently hosted its annual User Group Meeting virtually for the second year running. Held over three days, we brought together our customers and partners to have discussions around Ontologies and Ontology-Powered Entity Registration, FAIR data ecosystems, Data FAIRification, and Knowledge Graphs
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Addressing Common Challenges with Knowledge Graphs
In this blog we describe the pivotal role of semantic enrichment in the creation of effective Knowledge Graphs, and illustrate how semantic Knowledge Graphs help answer complex scientific questions.
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Using the SciBite Knowledge Graph to Explore Biomedical Literature
“Do you have a pre-made knowledge graph covering biomedical literature?” is a question we often hear at SciBite. The answer is yes we do, and in this blog post we’ll describe what our SciBite Knowledge Graph is, its content and the types of questions it can answer.
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SciBite showcases cutting-edge technology to Life Science leaders at Virtual User Group Meeting
Cambridge, UK – SciBite, the award-winning semantic technology company, recently hosted its first Virtual User Group Meeting across three days, bringing together its global customer base to share cutting-edge insights.
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What is a Semantic Knowledge Graph: Using Semantic Enrichment to connect the dots
At a time where more and more of our customer projects revolve around knowledge graph creation, we thought it was about time we blogged on what exactly a knowledge graph is and explain a bit more about how our semantic enrichment technology is being used to facilitate the production of such a powerful data model.
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The 12 days of Machine Learning tips for creating labelled training data
On the first day of Christmas SciBite gave to me... 12 top tips for creating labelled Machine Learning training data.
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SciBite supports launch of the UK’s first Data Scientist Degree Apprenticeship at Anglia Ruskin University
SciBite is proud to be supporting Anglia Ruskin University’s pioneering initiative to develop trained early career bioinformaticians through their brand-new Data Scientist Degree Apprenticeship.
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Of Burns and Bums: Machine Learning surprises!
As many of our regular visitors will know, the focus of our work here at SciBite is unlocking the knowledge held in the vast amount of biomedical text researchers have access to. Sometimes this yields well, interesting, results...
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Drug Repurposing, Rare Diseases and Semantic Analytics
In this blog we cover how to look potentially reduce the cost of and speed up the repurposing pipeline.
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Disease Detective Part 3: Machine Learning and phenotype triangulation
In our final disease detective article, we’ll take Part 2’s topic a little further and zoom in on how we can find new relationships between diseases where direct evidence is sparse.
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Disease Detective Part 2: Exploring mechanistically-related diseases through shared phenotypic profiles
Today, we’ll look at a fresh way of enabling scientific researchers, either in pharmaceutical R&D or in medical institutes to deepen their investigations and consider new links.
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Exploring Disease Phenotypes
To achieve the best results in exploring target-disease biology, researchers regularly apply multiple approaches. Reviewing direct protein-disease relationships is a simple but powerful technique for gaining an initial view but will only get you so far.
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Global Zika Virus Research Trends
Over the last 18 months, there has been a predictable surge in research on the Zika virus as the scientific community try to better understand the disease area. We decided to take a look at this topic to see how much research we being done across the globe.
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The Relationship Game – Knowledge Graphs
Scientific knowledge can be represented as relationships between things. Thousands or millions of such relationships make a knowledge graph or network analysis. SciBite technology enables extraction of these relationships, and in doing so, can uncover knowledge that might otherwise have remained hidden
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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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Game Set and Match
There’s been a lot in the news this week about Maria Sharapova’s failed drug test. The above quote in particular caught our attention here at SciBite Towers.
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The Evolution of Data
Over the 50 years how we collect and play music has changed dramatically from physical copies on Vinyl through to electronic mp3s. Each new technology often requires a new device and format to play yet it is still essentially just music.
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