When archiving thousands of unstructured documents, a text search engine is the only efficient way of retrieving information. Traditional full-text search engines use index lists to answer users’ queries. In most cases, the problem is that this index list is bigger than the document base itself. As the documentary fund grows, the size of the index list explodes inducing extra storage costs, maintenance problems and performance issues.
Adopting a smart indexing strategy makes it possible to index only relevant information, meaning the information used by users in their queries.