The Holy Grail of Enterprise Search – ‘Meaningful’ Metadata
Seems like a duh statement. Many organizations do recognize the importance of search and will change their search engine more frequently than is necessary. Others make do with what they have. But the purpose in deploying a new search solution is not necessarily to obtain new search features, but to improve the relevancy of retrieving accurate and timely information from a typically unorganized morass of content. This is the cause of failure and I think sometimes organizations muddle the differences on what the real problem is.
The primary problem in poor search results is the lack of metadata associated with the content and the relating of content in one system that is similar to or equivalent to content in a different system. There is a growing need to generate far richer metadata and manage it effectively to provide simplified access to these resources by business users.
You search is as good as your metadata. It’s as simple as that. The metadata identifies what words and phrases are meaningful in what context. By automatically generating conceptual metadata and supplying the terms to the search engine index, the descriptors ensure more relevant results. To make content fully transparent and go beyond system or user generated metadata, identifying ‘concepts in context’ from your content transforms it into business assets.
Without meaningful metadata, content will remain unmanaged and content will lose value and context. Thoughts?