From information governance to data loss prevention; from enhanced information discovery to process automation, the ability to create precise, complete and consistent metadata that describes the meaning, characteristics and properties of an information asset is essential.
Metadata, or “tags” describe the concepts, topics, subjects, themes and sentiments found within an information asset. They can flag the existence of sensitive information and trade secrets so that information assets can be secured according to information governance policies and they enable users and workflow engines to locate, route, manage and archive, etc. enterprise information.
Manually reading, analyzing and applying metadata to documents is time consuming, error prone and a burden for knowledge workers. While tags are important, users see no immediate value in the tagging activity. The net effect – the tags that do exist are inconsistent and incomplete - this creates a burden for the organization when knowledge cannot be found or handled incorrectly.
Semaphore facilitates the development of semantic models, which are used to create a set of classification rule-bases that automatically analyze and tag information assets. With Semaphore, organizations benefit from the complete and consistent application of quality metadata across all information repositories without imposing manual processes on their users.
Download our fact sheet and learn why Semaphore is viewed as THE semantic platform for information management.
