Pingar recently introduced its beta Taxonomy Generator Service, which will enable enterprises to generate instant taxonomies from an analysis of the content on large internal document sets.
KMWorld brought this news to our attention in their article, “Pingar unveils Taxonomy Generator Service.” By combining natural language processing and machine learning technologies with linked data, they are attempting to address the challenges of automatic taxonomy generation.
It is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy is important. But let’s not forget the importance of training and experience when building the foundational taxonomy. It isn’t a cookie cutter process. Be sure to choose a partner who has experience and believes in standards.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
Alice,
Thank you for the comment. If you would like to sign-up for the beta program to do this test please contact me at Chris.Riley@pingar.com.
Chris
It would be great to be able to submit a document set for a quick test. I’ve seen that done. Having a first run to roughly sort concepts could be valuable, especially if it reveals hidden concepts in a very large docset. But it’s key to realize that much work would still be necessary to transform the rough product into a standard-compliant taxonomy that is based on concepts, not just words…and then enrich it to become a proper thesaurus.
Chris ( VP of Marketing at Pingar ) Here.
This tool is not intended to be the final result, it’s an accelerator to the final desired taxonomy. So that taxonomist spend their time on the subject matter expertise that they have, as you mentioned. So really it’s very complementary to the process that we all area is necessary validating and making sure that the terms and hierarchy as something users will consume. Thanks for your comments.
Chris