Pingar Releases its Beta Taxonomy Generator Service

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Advanced algorithms allow enterprises to generate dynamic taxonomies by analyzing the content of large internal document sets

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Pingar, the innovative New Zealand provider of unstructured data management solutions, today announced the launch of its beta Pingar Taxonomy Generator Service.

The Service enables enterprises to generate instant taxonomies from an analysis of the content of large internal document sets. The Pingar research team, headed by Dr. Alyona Medelyan & Professor Ian Witten, has combined natural language processing and machine learning technologies with Linked Data to create a truly unique approach to the challenge of automatic taxonomy generation.

Peter Wren-Hilton, CEO of Pingar said: “Building enterprise taxonomies ‘on the fly’ is one of the true holy grails of providing real structure to the 80% of unstructured data held by enterprises today. Custom-built taxonomies have traditionally been both expensive to build and expensive to maintain. The Pingar Taxonomy Generator Service allows enterprises to build multiple taxonomies ‘on the fly’ in order to manage departmental, project or enterprise-wide document sets.”

“The Pingar Taxonomy Generator Service supports a wide range of unstructured data types including Office documents, PDFs, emails and their attachments”, Wren-Hilton added. “The launch of the beta Pingar Taxonomy Generator Service is the culmination of two years dedicated research work by some of the leading experts in this field.”

As well as providing for the generation of stand-alone taxonomies, the Pingar Taxonomy Generator Service has been designed to enhance Pingar’s Metadata Extraction API toolset. By enabling information workers to extract and assign taxonomy terms as metadata, the whole search experience for information workers is improved, leading to significantly increased productivity and a dramatic reduction in the cost to business of unsuccessful enterprise search.

About Pingar
Pingar is a platform agnostic software company that through its unique classification and metadata generation enables enterprises to identify and extract information from unstructured data and transform it into highly valuable intelligence.
Pingar has headquarters in New Zealand with offices in the United States, the United Kingdom, India and Hong Kong.

Follow Pingar on Twitter @PingarHQ.

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Chris Riley
chris.riley@pingar.com
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