Articles tagged: Ontology management

  1. Ontology mapping:
    Finding the right automated approach

    Ontologies are crucial for unlocking information. However, similar types have been created for different needs, reducing their interoperability. In this blog, we look at some of the automated approaches for large-volume ontology mapping.

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  2. AI based chat application for life sciences:
    Part I key considerations

    Are your teams now posing potentially confidential questions to consumer tools such as Bard and ChatGPT, relying on their responses?

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  3. Ontology mapping:
    Advancing data interoperability

    Ontologies are crucial in unlocking information that helps fuel innovation. However, similar ontologies have emerged within the same domain, making it difficult for researchers to identify the right ontology to choose. Here we look at some of the complexities and strategies for handling ontology mappings.

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  4. FOSHU: The original functional foods
     

    Headshot of Mark Streer, SciBite

    Explore how FOSHU informed the creation of our latest VOCab, a valuable asset for research in food science and dietary therapeutics. We begin by taking a deeper dive into Japan’s diverse FOSHU market

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  5. Functional foods: Revolutionizing health through diet and innovation

    Headshot of Mark Streer, SciBite

    Embark on a journey through the transformative realm of functional foods, where the convergence of nature's wisdom and cutting-edge innovation is reshaping our approach to health. In the 21st century, these foods emerge as powerful allies, combating lifestyle diseases and ushering in a new era of well-being.

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  6. FAIR data – Ten simple rules to FAIRify your data
     

    Image and link to LinkedIn profile of blog author Jane Lomax

    In the fourth and final blog in this series Scibite’s Head of Ontologies, Jane Lomax, shares her top 10 simple rules to start and progress your FAIR data journey.

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  7. FAIR as a means to get more value from your data
     

    Image and link to LinkedIn profile of blog author Jane Lomax

    In this blog, we’ll explore a selection of the many ways organizations can leverage the rapid developments in data discovery, machine learning, and data mining to release value from this asset.

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  8. The key to being FAIR
     

    Image and link to LinkedIn profile of blog author Jane Lomax

    In our previous blog, we explained why FAIR data is important not only for biotech and pharmaceutical companies but also for their partners. Here we describe how ontologies are the key to having the richly described metadata that is at the heart of making data FAIR. Let’s explore how ontologies help with each aspect of the FAIR data principles…

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  9. Why do you need FAIR data?
     

    Image and link to LinkedIn profile of blog author Jane Lomax

    For many organizations, the idea of adopting FAIR can be confusing and daunting. Over the coming weeks, we’ll present a series of blogs to help demystify FAIR. In this series, we’ll cover topics including how ontologies provide the key to being FAIR, and how FAIR enables you to get more value from your data.

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  10. A report from the Biocuration 2023 Conference in Padua, Italy

    The Biocuration Conference this year was held in the beautiful historic town of Padua in the Veneto region of Italy, renowned for its ancient University and picturesque old town. The stylish and relaxed atmosphere was the perfect place for catching up with old friends and establishing new connections and collaborations.

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  11. What is IDMP – Navigating the ISO IDMP standards with SciBite ontologies

    As of the first quarter of 2023, it will be mandatory for pharmaceutical manufacturers that market to the EU to comply with the European Medicines Agency (EMA) ISO Standards for the Identification of Medicinal Products (IDMP).

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  12. Creating a SciBite VOCab from a public ontology
     

    Public ontologies are essential for applying FAIR principles to data but are not built for use in named entity recognition pipelines. At SciBite, we build on the public ontologies to create VOCabs optimized for NER. In this blog, discover how we create a SciBite VOCab from a Public Ontology.

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  13. Why use your ontology management platform as a central ontology server

    Raw data has the inherent characteristic of being unstructured with potential quality issues such as inaccurate, incomplete, inconsistent, and duplicated. Therefore, it must be processed before it can be used for subsequent analysis and confident data-driven decisions. This is where ontologies come into play.

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  14. Leveraging semantics for effective navigation of scientific content

    A Copyright Clearance Center & SciBite Perspective - In an increasingly data-driven society, it can be overwhelming to keep your knowledge base current and effectively utilize data. The result in many organisations is underutilising the data and content available to them.

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  15. What’s in our 6.5.2 TERMite / VOCabs release
     

    SciBite’s vocabularies fuel a host of use cases, from complex querying to data integration and discovery of new knowledge. In the 6.5.2 release of VOCabs, SciBite introduces the new Emtree VOCab pack, as well as a new Sequence Ontology vocab to the Genotype-Phenotype vocab pack. Several updates to existing vocabularies are also included.   

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  16. SciBite’s newest VOCabs – What’s in our 6.5 release

    SciBite’s VOCabs power a host of semantic use cases including search and analytics. Created from public ontologies and reference databases for a wide range of topics, these vocabularies are enriched using our proprietary tools, and curated by our team of experts to ensure maximum capture of relevant synonyms by subject area and context.

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  17. CODiE 2022 SIIA finalist in best Integration Platform as a Service (iPaaS)

    SciBite's ontology management platform, CENtree earns nod from industry leaders by being named a 2022 SIIA CODiE Award finalist in the Best Integration Platform as a Service category.

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  18. SKOS in CENtree: Further support in our latest 2.1 release

    At SciBite terminologies underpin all that we do. There are many ways to represent and build a standardised terminology, each with different levels of complexity. On one hand you have simple, informal, lightweight terminologies (e.g., glossaries, dictionaries, and thesauri), where the meaning (semantics) of terms is captured using natural language.

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  19. SciBite brings enterprise ontologies to Benchling – Ontology backed data capture

    Unstructured and siloed data in the life sciences remains a significant barrier to fulfilling the promise of digital transformation. Awareness is growing for the importance of data capture and storage, enabling it to be effectively found, accessed, used interoperably and reused. These are the foundations of FAIR. Capturing data with FAIR in mind, ensuring your data is “born FAIR”, is key to unlocking the full potential of data.

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  20. SciBite announces the release of CENtree 2.0.1
     

    In this blog we announce the 2.0.1 release of CENtree, SciBite’s ontology management platform, which sees the introduction of features that enable you and your team greater control over managing and deploying ontologies in your applications, and a closer integration with TERMite.

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  21. SciBite and Sinequa join forces to transform scientific search

    SciBite and Sinequa's new collaboration combines custom ontologies with a powerful search platform to help researchers find answers fast.

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  22. SciBite and Stardog build a Knowledge Graph for drug discovery

    In a recent webinar, SciBite and Stardog team members demonstrated how to build a knowledge graph to identify candidate drugs for a rare disease.

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  23. Introducing efficiencies into the scientific reading experience

    First and foremost, researchers need access to a corpus of scientific literature and secondly, they need a robust and reproducible way to search that content. Through partnership, SciBite and Copyright Clearance Center bring together scientific content and advanced search capabilities.

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  24. SciBite launches SaaS versions of its semantic technology products

    SciBite has today unveiled its new Software-as-a-Service (SaaS) version of TERMite, SciBite’s named entity recognition engine, and its CENtree™ ontology management system.

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  25. SciBite and L7 Informatics partner to deliver data ontology search through L7|ESP™

    SciBite and L7 Informatics announce joint partnership to support discovery and collaboration in the life sciences.

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  26. Annotation of the Covid-19 open research dataset for the scientific research community

    In this blog find out how the SciBite team has responded to the tech community call to arms from The White House after they released an Open Research Dataset (CORD-19), with the hope to help uncover insights and answer high-priority scientific questions related to Covid-19.

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  27. What’s new in CENtree 1.4:
    Making ontology management simple

    Find out what's new in CENtree 1.4, the latest release of the enterprise ready multi-user ontology management platform for browsing and managing ontologies.

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  28. Sprinkling a little semantic enrichment into your data catalog

    This blog focuses on the use and value of data catalogs and Master Data Management (MDM) tools and how the additional layer of Semantics is required in order to truly see their value for enterprises looking to manage their data better.

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  29. The allotrope ontologies: The power of open ontologies in industry

    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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  30. Semantic approach to training ML data sets using ontologies & not Sherlock Holmes

    In this blog we 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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  31. Building the future of text analytics
     

    SciBite CSO and Founder Lee Harland features in KM World Magazine, where he talks about 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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  32. 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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  33. Using 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 organization. Here I’ll expand upon this and focus on mapping, building, and managing ontologies.

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  34. Using 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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  35. 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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  36. 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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  37. Why simplifying visualization 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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  38. The benefits of centralizing 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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  39. SciBite launches CENtree, ontology management for life sciences

    Cambridge, UK - SciBite, the award-winning semantic technology company, today announced the launch of CENtree, an innovative, collaborative platform which revolutionizes the way life sciences organizations manage and release ontologies.

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  40. 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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  41. SciBite Ontology Services offers expert ontology solutions

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

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  42. How biomedical 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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  43. How semantic enrichment technology 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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  44. 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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  45. 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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  46. 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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