Concept Searching, the developer of semantic metadata generation, auto-classification, and taxonomy management software, has launched Release 5.4.6 of its flagship conceptClassifier platform.

Highlights include new and improved interfaces for taxonomy and workflow management, as well as advanced reporting features. This Release improves speed and usability, enabling users to further leverage the power of the conceptClassifier platform to interrogate their data, and perform auto-remediation where appropriate.

“Concept Searching has always focused on adding functionality to help taxonomy administrators and subject-matter experts to get the most out of their content, by providing easy-to-use features that capture the nuances and meaning within it,” said Michael Paye, Chief Technology Officer at Concept Searching.

“The Release focuses on improving the end user experience, through new interfaces and advanced reporting. This more readily provides a holistic view of content, regardless of where it resides. In turn, our clients gain deep insight into their unstructured data, to drive positive business outcomes.”

conceptTaxonomyManager is a simple-to-use, intuitive user interface designed for subject-matter experts without IT or information science expertise, to build, maintain and validate taxonomies for the enterprise.

conceptTaxonomyManager is highly interactive and provides realtime validation of changes made to taxonomies. This Release provides additional user experience options, such as shortcut actions, contextual help, clue filtering, and rule duplication expedition.

New functionality has also been added to conceptTaxonomyWorkflow, an optional component that can perform an action on a document, following a classification decision when specific criteria are met. This enables decision making that enhances organizational performance and drives down costs, but more importantly enforces corporate and legal compliance guidelines.

Other core improvements available in this Release include extending optical character recognition (OCR) support, to enrich the classification engine with new rule types and increase file and web crawling performance.

http://www.conceptsearching.com