The torpedoes! How much time, Lieutenant?
Twelve seconds, sir!

(From “Star Trek Into Darkness,” 2013)

Imagine you’re working as an analyst for an intelligence agency as the lead for a task force tracking and trying to capture a suspected terrorist. A lot of intelligence, Human reports, signals (both human communication and machine communication), imagery, full motion video, and social media sources are pouring in about the movements of this person. Timely synthesis and understanding of

Say you’re working on a project that calls for something specific, like a “one-quarter-inch slotted magnetic screwdriver.” But when you go to the website of a hardware chain and type that phrase into the search field, zero results appear. You sigh and search again, typing simply “screwdriver.” This time, 652 matches fill your screen. You sigh again, frustrated by the “Goldilocks experience” so common to online searches—too little information or too much information, never resulting in

I just read an interesting new blog post from my colleague Ken Krupa, entitled “The Mighty Text Box,” where he takes a look at implementations of search capabilities – including a historical look-back comparison of Yahoo and Google. Ken has worked with a lot of folks in a lot of organizations, both before and since joining MarkLogic, and so he’s gotten to see a wide range of user requirements. I was really struck by this observation he made about a recent client engagement:

…one of their

[Editor's Note: Adapted from Adam Fowler's blog:]

A new feature of MarkLogic 7′s search API is range index scoring – affecting relevancy based on a specific value(s) within a document. MarkLogic returns results in relevance order, and range index scoring allows you to determine relevancy based on the value of an element in a document, rather than just performing an exact value match. E.g. a relevance score may be ‘0.625’ if the search was “rating:4” as an exact match, but may be 0.5

This is part 2 of our marketing department’s journey to creating a scalable content management and delivery system. 

Before MarkLogic I was with a semantic enrichment company that helped media companies “unlock value” by producing rich metadata to describe the content. We called it automatic tagging.

Now, tags are only as good as the database they are stored in and my prior company understood an XML database would help leverage those tags. We showed publishers of all sizes the one-two punch