17 & 18 October 2017   Olympia London

Day One focus - Taxonomy Boot Camp London

5 September 2017

Whether you’re a taxonomy first-timer or a seasoned expert, next month's Taxonomy Boot Camp London will help you harness taxonomies to drive your data, content and information processes more effectively. Here, we take a look at what Day One of the conference programme has to offer:

Keynote - Kick the beehive: new approaches to building taxonomies for the real world. Madi Solomon (left) gives real-life examples of what businesses are doing with ontologies and taxonomies.
Jump-starting your taxonomy project - practical steps, key tools and methods to get your taxonomy project started.
Doing taxonomy right – three acknowledged experts deliver essential advice for anyone new to building taxonomies.
Making sense of unstructured and large data sets – hear from specialists using taxonomies and semantic models to analyse big, complex sets of data.
Creating global taxonomies in the media and publishing sectors – Case studies from BBC and Pearson plc covering the technical and organisational challenges of implementing taxonomies in large media businesses.
Fresh approaches to metadata and taxonomy - How a university library used a thesaurus to align vocabularies and create a common understanding of concepts across diverse scientific fields.
Building up taxonomies to maximise their effectiveness - Structure, standards, proposed usage, term choices, mappings, models, ontologies and much more.
Working with large multi-faceted and multi-lingual taxonomies - Two in-depth case studies from the UK Data Service and the Swiss National Accident Insurance Fund.
Applications for semantics - how automatic classification can help in the analysis and generation of textual content, plus an overview of the different database technologies.
Machine learning and NLP - for those wanting to understand the rapidly-maturing technologies of machine learning and NLP (natural language processing).

Read the full Taxonomy Boot Camp London programme here.



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