Semantic knowledge management

This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these template messages) This article relies largely or entirely on a single source. Please help improve this article by introducing citations to additional sources. Find sources: "Semantic knowledge management" – news · newspapers · books · scholar · JSTOR (November 2020) (Learn how and when to remove this template message)

In computer science, semantic knowledge management is a set of practices that seeks to classify content so that the knowledge it contains may be immediately accessed and transformed for delivery to the desired audience, in the required format. This classification of content is semantic in its nature – identifying content by its type or meaning within the content itself and via external, descriptive metadata – and is achieved by employing XML technologies.

The specific outcomes of these practices are:

• Maintain content for multiple audiences together in a single document
• Transform content into various delivery formats without re-authoring
• Search for content more effectively
• Involve more subject-matter experts in the creation of content without reducing quality
• Reduce production costs for delivery formats
• Reduce the manual administration of getting the right knowledge to the right people
• Reduce the cost and time to localize content

• Learn eXact
• Thinking Cap LCMS
• Thinking Cap LMS
• Xyleme LCMS
• iMapping

• John Davies; Marko Grobelnik; Dunja Mladenic (2008). Semantic Knowledge Management: Integrating Ontology Management, Knowledge Discovery, and Human Language Technologies. Springer. ISBN 978-3-540-89164-2. 

0.00 (0 votes) Original source: https://en.wikipedia.org/wiki/Semantic knowledge management. Read more