Applied Relevance Introduces Information Management Application Optimized for MarkLogic 7

Applied Relevance has introduced Epinomy version 7, optimized for MarkLogic 7, a NoSQL database platform for staging and managing big data. The advantage provided by Epinomy, said George Everitt, CEO and founder of Applied Relevance, is a combination of three ideas - tables, text and triples.

Epinomy addresses big data management by providing information architects with a comprehensive approach to linking and tagging information assets such as tables and text; and then leveraging triple store technology to provide enterprise users with a high-speed web-like search experience. 

"The table is the structured information, and it is the traditional BI kind of information. Text is the traditional enterprise text kind of information. MarkLogic does both of those exceptionally well," said Everitt. "The third is triples - the metadata - the glue that holds those two together. What we provide with Epinomy is a way of creating and managing taxonomies, ontologies, and other data structures that are represented in linked data so that you can apply those to both the structured and unstructured environments, and get value from both of them using the triples as an underlying semantic mechanism."

With a high-performance semantic engine, Epinomy allows organizations to build these ontologies and auto-tag documents with metadata. Information managers can organize and build information assets in a way that allows users to quickly search and find relevant structured and unstructured information quickly and efficiently.

MarkLogic’s current customer base tends to skew toward the publishing industry is heavily weighted toward unstructured data, observed Everitt. MarkLogic is also making inroads into the financial services space which has much more to do with structured data, he noted. Epinomy will help MarkLogic gain footholds into this area since it provides an easy way to get started with MarkLogic and bring  data from both of structured and unstructured sources and combine them together using taxonomy metadata, he said.

"MarkLogic provides a compelling story. We are providing an application layer," said Everitt. "Epinomy on top of MarkLogic implements some of the more frequently requested capabilities that MarkLogic’s professional services organization creates on a custom basis for many of its customers.”

Epinomy aims to expand these features as customer requirements emerge, said Everitt.  "We want to be requirements-driven but the idea is that we don’t do anything that we can’t sell at least 10 of. A feature has to be broadly needed across verticals in order to make it into Epinomy."

More information is available about Epinomy at and about MarkLogic at