Concept Searching Publishes Two White Papers on Compound Term Processing

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White Papers on Compound Term Processing Technology and the Business Impact of Automatically Generated Conceptual Metadata Now Available

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Since our technology is unique in the industry, these two new white papers explain our core intellectual property and how organizations are using the platforms to solve challenges that go beyond search.

Concept Searching, the global leader in semantic metadata generation, auto-classification, and taxonomy management software, and developer of the Smart Content Framework™, has published two new white papers, ‘Compound Term Processing’ and ‘The Business Value of Compound Term Processing and Automatically Generated Intelligent Metadata’. Both white papers are educational in nature, explaining Concept Searching’s unique core technology and how it delivers business value.

The Concept Searching platforms are built on a unique concept extraction and recommendation engine that uses compound term processing, and they are the most mature, adaptive, and scalable technologies available in the market today. These technologies enable the automatic generation of semantic metadata, to drive accurate auto-classification and deploy intelligent metadata enabled solutions across the enterprise. Concept Searching is the only statistical software vendor that has an embedded compound term processing engine.

The ‘Compound Term Processing’ white paper is technical, and explains the types of technologies available for enterprise search, the development of compound term processing, and specific business use cases. ‘The Business Value of Compound Term Processing and Automatically Generated Intelligent Metadata’ white paper focusses primarily on SharePoint, Office 365, and OneDrive for Business environments. However, the technology itself is platform agnostic and not limited to the Microsoft platforms. This white paper explores the application of compound term processing to solve key business issues facing most organizations today. These topics include integrated enterprise search, security at the content level, intelligent migration, automatic declaration of records, information governance, legal and eDiscovery, and also the use of automatically generated conceptual metadata for collaboration, social tagging, and text analytics.

“Since our technology is unique in the industry, these two new white papers explain our core intellectual property and how organizations are using the platforms to solve challenges that go beyond search,” said Martin Garland, President of Concept Searching. “Although enterprise search is becoming a priority once more, organizations can now use one set of technologies to improve any applications that require metadata. This provides significant business value, protects investment, and delivers quantifiable ROI to our clients.”

This Chalk Talk on Compound Term Processing, delivered by John Challis, CEO and CTO of Concept Searching, covers the basics of Concept Searching’s industry unique core technology.

About Concept Searching
Concept Searching is the industry leader specializing in semantic metadata generation, auto-classification, and taxonomy management. Platform agnostic, Concept Searching also has a Microsoft Gold Application Development competency, and offers a complete suite of SharePoint and Office 365 solutions. The award winning technologies integrated with Concept Searching’s Smart Content Framework™ encompass the entire portfolio of unstructured information assets in on-premise, cloud, or hybrid environments. Clients have deployed the intelligent metadata enabled solutions to improve search, records management, identification and protection of privacy data, migration, text analytics, eDiscovery, and enterprise social networking applications.

Concept Searching is headquartered in the US with offices in the UK, Canada and South Africa. For more information about Concept Searching’s solutions and technologies follow us on Twitter.

All product and company names herein may be trademarks of their respective owners.

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