semantic technologies use

Semantic technologies offer a powerful tool to:

• Represent knowledge in a model that closely reflects the reality of a certain social or business domain.  This condition implies that the information should be application agnostic, it should be able to expose itself to the Web under the model constraints (Semantic Web’s linked data concept), and applications should be able to reuse it without major development.
• Represent meanings, associations, theories, and know-how about the uses of resources separately from data and program code.
• Make concepts understandable to people in their own terms.
• Make information interoperable via a semantic layer independent of the source.
• Provide capabilities to discover and extract data.
• Describe data with standardized metadata.
• Improve search with semantic query applied to tags, metadata and associations.
• Enable better social network peering and trusted relationships.
• Enable knowledge access across organization, system and social network boundaries.
• Enable contextual capabilities applied to presentation, navigation, peering, content delivery, ads and recommendations.
• Enable analytics based on semantic processing applied to social networks and content analysis.
• Facilitate interoperability among different applications in various domains of knowledge, enabling computers to discover, compose, orchestrate, and manage services based on all the above-mentioned capabilities coupled with the use of standards and APIs to integrate content, databases and systems onto smarter SaaS applications.