We look at alternatives to relational databases that have emerged to help bring some structure to unstructured data and gain valuable insight by making it semi-structured.

Data can be classified as structured, semi-structured or unstructured – but what bearing do these classifications have on a company’s data-handling strategy? The short answer is that it is ...

Digital Reef plans to manage unstructured and semi-structured data, that is data not already managed by database management systems, by helping large enterprises deal with key business issues that ...

Some sources are completely static or semi-static while others are very dynamic in nature. This report provides the reader with a broad understanding of telecom data (structured and unstructured ...

The real differentiator is the ability to deploy a dynamic, enterprise-wide system of context that fuels AI with real-time, trusted information.

Related Article: Looking for Structure in the Dollar Menu Semi-Structured Content The characteristics of semi-structured information include: Unstructured information with semantic tags. May be ...

"Certainly on the information management side, most of what we do and deliver has been based on content indexing of unstructured and semi-structured data, so emails, files, documents, that sort of ...

The last decade has been dominated by the challenges of analyzing unstructured and semi-structured data from clinical notes, claims, and medical images, including X-rays, CT scans and MRIs.