Semaphore Classification Provides Superior Results

Classification is the process of describing a piece of information (a contract, a proposal, a policy), what it’s about (subjects, topics, themes), and how it should be managed (distributed, secured, archived) by applying one or more metadata tags. Metadata can be applied manually by humans or automatically using technology. Where manual classification relies on a human to read and classify information by selecting the right metadata tags, automatic classification uses statistical methods or model-driven rules to precisely, consistently and efficiently apply the metadata.

Let’s face it, manually applying metadata to your information can be time-consuming and error-prone. Without precise metadata, locating the information you need when you need is difficult and frustrating. Smartlogic’s Semaphore Classification Server eliminates the costs and hassles of manual classification by combining rulebases and Natural Language Processing (NLP) to give you the best of both worlds – precise, complete and consistent metadata results with the ease of automation.

Semaphore starts with a semantic model, which describes the concepts, topics, subjects, themes and organizational structures that are unique to your organization and use case. The model is published and rulebases - a series of templates, which can be modified to achieve specific classification outcomes - are generated. These rulebases are combined with sophisticated classification strategies to examine enterprise information and apply precise and consistent metadata, which organizations can leverage to improve search and retrieval, power information-intensive processes, comply with governmental mandates, secure sensitive information and aid e-discovery.