Scott Koegler
SemanticWeb.com Contributor

This interview with Tim Musgrove, founder and CEO of Textdigger.com highlights some interesting information about semantics and unstructured data. Textdigger is an SaaS service that, among other things, searches text documents and brings together seemingly unrelated documents based on common themes.

The service can search through documents and identify themes without those themes having been previously defined. The program is being used by news organizations to build new landing pages that consolidate articles already in inventory, but not previously recognized as being related. Listen to Musgrove's example about baby gates and you'll get the idea.

What the service delivers is a boon to creating SEO pages with highly concentrated, related articles that are likely to be highly rated by search engines. It would seem that any active publishing company might find use for this kind of tool.

In addition, Textdigger's online demo for its keyword tools can analyze a web page and identify what words should be added to an article to make it more relevant to search engines. The Textdigger founder says several SEO consulting agencies have adopted this tool after finally seeing that semantic technologies can be helpful to their practices.

Hear Musgrove's explanations of Textdigger's capabilities and why he thinks that publishing and search can benefit from the use of semantic tech.

Click Start arrow below to hear Tim Musgrove interview.