In this webinar Synaptica presents the Graphite Knowledge Studio tools and illustrates how enterprises can leverage their existing taxonomies to perform auto-categorization, including inline semantic tagging as well as document-level classification.
Graphite Knowledge Studio brings together tools for managing ontology schema, curating taxonomies, ingesting corpora, and performing iterative tagging trials with human-in-the-loop review and rule-refinement. Knowledge Studio is the result of over two year’s collaboration between Synaptica and Ontotext to integrate their taxonomy management and text analytics technologies.
Graphite Knowledge Studio is a ground-up ontological and semantic solution. At the foundation level the product is an ontological schema for categorization processes: predicates to describe positive and negative contextual validations, proximity and relevance, and even predicates to capture complex regular expressions. This tagging ontology can be rapidly combined with standard taxonomy ontologies such as SKOS. The solution puts the taxonomist in the driving seat with transparent rules and tools to control how categorization works with their enterprise taxonomies in relation to their enterprise content.
The webinar draws on examples from two domains: categorization for eCommerce applications and categorization of job listings and candidate résumés.
The presentation is be led by Synaptica’s Founder, David Clarke, with an explanation of some of the NLP under-the-hood presented by Borislav Ankov, Product Owner of Ontotext Metadata Studio, and the recording is available on-demand after registration.
Founder, Synaptica
David served on the authoring committee of the 2005 version of the US national standard for controlled vocabularies, ANSI/NISO Z39.19. He leads research and development at Synaptica, including software solutions for taxonomy and ontology management, text analytics and auto-categorization, image annotation and indexing, and Linked Data management.
Product Manager, Ontotext
Borislav is a Product Manager at Ontotext. He's currently leading the development of the Ontotext Metadata Studio. He makes clients' lives easier by solving their business problems with the help of practical natural language processing solutions. He's passionate about enabling non-technical subject matter experts achieve enterprise grade results via no-code taxonomy-based NLP.