We recently noted what for us was a thought-provoking detail when comparing Gartner’s “Hype Cycles” from 2016 to 2017. There are undoubtedly lots of very perceptive observations on trends and technologies on both, many having to do with AI, Machine Learning, and how it may lead to products and services that will make our world a better, easier place to live in. However, we at Synaptica focused on one item in particular– Enterprise Taxonomy and Ontology Management. No surprise there!
In my last blog, I discussed what a text analyst does and what types of individuals may fill a text analyst role. In this blog, I’ll try to answer the question of where in the organization a full or part-time text analyst role resides.
We are especially excited about an optional new feature in the new release of Synaptica KMS version 8.0 that can help to enrich your internal taxonomies by linking them to external taxonomies and databases that contain additional descriptive properties and relationships.
The Knowledge Organization
Every enterprise has an elite team of dedicated knowledge workers. Each member of that elite team is familiar with content creation, management, and retrieval best practices. There are also dedicated experts for taxonomy, content management, search, and text analytics. The knowledge management group acts as advocates and internal consultants to help employees become enough of a knowledge worker to create, manage, and retrieve content effectively.
What Is the Long Tail?
Time to address the junk drawer. If you’re anything like me, you have a junk drawer somewhere in your home.
One of the primary motivations for performing text analytics is to determine the aboutness of a document or sets of documents (a corpus).
Organizations have information--lots of information. Some of that information is structured data and is stored in databases comprising metadata as well as textual and numerical content. Even more of that information is unstructured content in the form of images and text. It’s commonly agreed we are producing more and more information and the bulk of this information is unstructured. It’s also commonly accepted that there are insights to be found in that information.
This webinar will demonstrate how to design and build rich end-user search and discovery applications using Linked Data. The Linked Open Data cloud is a rapidly growing collection of publicly accessible resources, which can be adopted and reused to enrich both internal enterprise projects and public-facing information systems.