SciBite releases new version of ultra-fast term identification, tagging & extraction engine – TERMite 6.3

Cambridge, UK - SciBite, the award-winning semantic software company, today announced the release of a new version of their industry leading, ultra-fast named entity recognition (NER) and extraction engine, TERMite 6.3, which delivers a range of new enhancements, including simplified connectivity to third party systems.

TERMite 6.3

The era of data-driven R&D is motivating Life Sciences companies to invest in technologies such as machine learning and natural language processing to provide deeper insights into new development strategies. However, many computational approaches struggle to deal with the complexity and variability of unstructured scientific language.

TERMite (TERM identification, tagging & extraction) is at the heart of SciBite’s semantic analytics software suite. Coupled with SciBite’s hand-curated VOCabs, TERMite, can recognise and extract relevant terms found in scientific text.

“Accurate semantic enrichment eliminates ambiguity and transforms unstructured content into rich, machine-readable data.” says James Malone, Chief Technical Officer at SciBite. “With this latest version of TERMite, we are making it even easier for our clients to integrate robust, scalable semantic enrichment capabilities into their business workflows.”

The new version of TERMite introduces:

  • A major expanded set of APIs for semantic forms, ontology navigation and administration;
    • Create smart forms that capture clean data
  • Enhanced logging and monitoring for both server and batch mode;
    • For easier management of enterprise deployments over millions of documents
  • Improvements in the Variation Engine, Regular Expression Vocab and TExpress/Bundle systems;
    • Provide unparalleled recognition capabilities
  • Connectivity to cloud systems such as S3 and Hadoop;
    • Making it easier to process and share cloud-based documentation
  • Addition and updates to vocabularies including CDISC, MEDDRA, Metabolites and more;
    • Increasing SB recognition of documentation from research through to clinical
  • Other improvements and bug fixes.

Read more about TERMite at https://www.scibite.com/platform/termite/

About SciBite

SciBite is an award-winning semantic software company offering an ontology-led approach to transforming unstructured content into machine-readable clean data. Supporting the top 20 pharma with use cases across life sciences, SciBite empowers customers with a suite of fast, flexible, deployable API technologies, making it a critical component in scientific data-led strategies. Headquartered in the UK, we support our global customer base through additional sites in the US and Japan.

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