Articles tagged: Ontology Management

  1. What’s new in the latest release of the revolutionary ontology management platform, CENtree 1.2

    Find out what's new in CENtree 1.2, the latest release of the enterprise ready multi-user ontology management platform for browsing and managing ontologies.

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  2. Sprinkling a little Semantic Enrichment into your Data Catalogue

    This blog focuses on the use and value of Data Catalogues 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.

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  3. The power of open Ontologies in industry: The Allotrope Ontologies

    In this blog, find out how our next-generation ontology management tool CENtree can be used to manage the Allotrope ontologies.

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  4. CENtree 1.1: Latest release of the revolutionary ontology management tool for Life Sciences organisations

    SciBite releases latest version of CENtree, the revolutionary ontology management platform for the life sciences.

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  5. 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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  6. SciBite releases new version of their easy to use Vocabulary Editing Toolkit – VET 2.0

    SciBite releases new version of easy-to-use Vocabulary Editing Toolkit, VET 2.0 which adds new features, improves performance, and offers even greater ease-of-use.

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  7. SciBite releases new version of CENtree, the revolutionary ontology management tool for Life Sciences organisations

    SciBite releases CENtree 1.0, the latest version of the innovative, collaborative platform which revolutionises the way Life Sciences organisations manage and release ontologies.

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  8. A Semantic approach to creating Machine Learning training data using Ontologies, Wikipedia and not Sherlock Holmes

    SciBite's CTO James Malone explains how the semantic approach to using ontologies is essential in successfully training machine learning data sets. In this blog he discusses how Sherlock Holmes (amongst others) made an appearance when we looked to exploit the efforts of Wikipedia to identify articles relevant to the life science domain for a language model project.

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  9. 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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  10. Human and Machine Intelligence: Building the future of Text Analytics

    SciBite CSO and Founder Lee Harland features in KM World Magazine where he talks on the future of text analytics and how ontologies are the de facto standard to encode semantics in an understandable form for both humans and machines.

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  11. Using Enterprise Search to unlock the wealth of R&D data

    Learn more in this blog post about our partnership with Sinequa and how our technologies work together to provide a winning combination of Cognitive Search and powerful Life Sciences Semantics, as we explain how enterprise search platforms are enabling Pharmaceutical companies to become more information-driven.

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  12. 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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  13. 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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  14. Ontologies with SciBite: How Ontology enrichment is essential in maintaining Clean Data

    Ontologies have become a key piece of infrastructure for organisations as they look to manage their metadata to improve the reusability and findability of their data. This is the final blog in our blog series 'Ontologies with SciBite'. Follow the blog series to learn how we've addressed the challenges associated with both consuming and developing ontologies.

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  15. Enhanced Clinical Vocabularies – Inclusion of CDISC in latest TERMite 6.3 release

    SciBite's latest TERMite 6.3 release includes a new set of clinical ontologies as it introduces a set of CDISC vocabularies.

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  16. Ontologies with SciBite: The importance of facilitating collaboration and integration

    Ontologies have become a key piece of infrastructure for organisations as they look to manage their metadata to improve the reusability and findability of their data. This is the third blog in our blog series 'Ontologies with SciBite'. Follow the blog series to learn how we've addressed the challenges associated with both consuming and developing ontologies.

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  17. Ontologies with SciBite: Why simplifying visualisation and curation is better for everyone

    Ontologies have become a key piece of infrastructure for organisations as they look to manage their metadata to improve the reusability and findability of their data. This is the second blog in our blog series 'Ontologies with SciBite'. Follow the blog series to learn how we've addressed the challenges associated with both consuming and developing ontologies.

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  18. Ontologies with SciBite: The benefits of centralising Ontology Management

    Ontologies have become a key piece of infrastructure for organisations as they look to manage their metadata to improve the reusability and findability of their data. This is the first blog in our blog series 'Ontologies with SciBite'. Follow the blog series to learn how we've addressed the challenges associated with both consuming and developing ontologies.

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  19. SciBite launches CENtree to revolutionise Ontology Management for Life Sciences organisations

    Cambridge, UK - SciBite, the award-winning semantic technology company, today announced the launch of CENtree, an innovative, collaborative platform which revolutionises the way Life Sciences organisations manage and release ontologies.

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  20. SciBite announced as Best of Show Award finalists for Bio-IT World 2019

    SciBite has been shortlisted for Bio-IT World 2019’s prestigious Best of Show Award.

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  21. SciBite Ontology Services enables Life Sciences organisations to access industry-leading Ontology and Biocuration expertise

    Cambridge, UK – SciBite, the award-winning semantic technology company, today announced the launch of SciBite Ontology Services.

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  22. How ontologies are unlocking the full potential of biomedical data

    Our latest blog explains how SciBite's Ontologies team takes public biomedical ontologies and tailors them so that they can be used for named entity recognition (NER).

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  23. Keeping up with the Life Sciences literature – How Semantic Enrichment is changing the way we search

    In our latest blog we discuss the challenges life sciences companies, like LifeArc, face in keeping up-to-date with scientific literature, and how semantic enrichment technology can automate this process to reduce the time spent mining data by up to 80%.

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  24. SciBite releases new version of easy-to-use Vocabulary Editing Toolkit – VET 1.2

    SciBite releases new version of the easy-to-use vocabulary editing toolkit, VET 1.2 which adds new features, improves performance, and offers even greater ease-of-use.

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  25. Exploring ontology visualisation techniques for biological data

    What’s the most useful way to visualise an ontology? SciBite CTO James Malone gives his views on answering this commonly asked question regarding ontology visualisation techniques.

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  26. Are Ontologies relevant in a Machine Learning-centric world?

    SciBite CSO and Founder Lee Harland shares his views on why ontologies are relevant in a machine learning-centric world and are essential to help "clean up" scientific data in the Life Sciences industry.

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  27. Ontology Mapping: You say Tomato I say Solanum Lycopersicum…

    In this post we explore this important but often overlooked topic and discuss its relevance to the work of SciBite and other groups such as FAIR and the Pistoia Alliance within the broader scientific community.

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  28. 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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  29. SciBite releases its eagerly awaited Vocabulary Editing Tool (VET)

    Meet SciBite's Vocabulary Editing Tool. Ergonomic, traceable, exceptional quality control.

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  30. VOCab of the Week: ORPHAN

    Gaining a deeper insight into rare diseases with our ORPHAN VOCab.

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  31. VOCab of the Week: Food, Nutrients and Micronutrients

    A closer look at our Food, Nutrients and Micronutrients VOCab

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  32. 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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