In many organizations, a proactive approach to managing unstructured and semi-structured content has never received much focus or relative importance from within the IT and business infrastructure. Enterprise Content Management (ECM), quite the vogue in 2000, has lost its luster and has failed to keep up. A half-hearted approach to managing content is no longer a viable option due to unmitigated content growth, and coupled with the fact that 80% of business decisions are made using unstructured content. A traditional oversight that continues, is the organization’s inability to place value on unstructured content as a corporate asset. In this scenario, content remains marginally useful with no tangible value assigned to it.
Semantics is typically applied to search technologies, but organizations can no longer cope with growing challenges in electronic records management, the possibility of data breaches, and the typical issues associated with migration. A focus on topics such as information governance, text analytics, collaboration, social intelligence, and auto-classification are now creeping into corporate jargon. Yet, for most organizations, these are not viable options until an enterprise semantic framework is in place to exploit the inherent value in unstructured content, making it useful to a variety of stakeholders for different purposes, and to the enterprise as a whole.
The issue facing many organizations is the limitation of exploiting metadata as a single solution approach, such as improving search, which is typical of most vendors sales strategy. A more effective approach is to adopt an integrated semantic platform, where semantic metadata is a core component of the technology infrastructure and can therefore be applied to a variety of application challenges in the management of unstructured content. This semantic framework is used to support a complete range of intelligent metadata enabled solutions.