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.


SciBite’s Vocabulary Editing Toolkit (VET) is a desktop application designed to help curators build and manage lists of semantically related terms.

VET is an intuitive editor that makes it easy for scientists to adapt existing vocabularies or curate entirely new ones. The customisable, clutter-free interface provides users with real time sanity checking, and version control allowing edits to be easily tracked. The goal of this release is to further simplify how users create and manage vocabularies.

New features include:

  • A simple project folders, which allow you to easily import, edit and export your dictionaries
  • A recent projects folder to quickly access recent work
  • Control your view of the VET interface
  • Access entity definitions and auto-suggested synonyms to enhance your dictionaries
  • Cut, copy and paste – Now enabled across the application with the ability to drag and drop entities and detect duplicates across sub-vocabularies

Read more about VET or download the VET datasheet.

Related articles

  1. 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.

  2. 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.


How could the SciBite semantic platform help you?

Get in touch with us to find out how we can transform your data

Contact us