Earlier this year, Deep Web Technologies announced the development of a multilingual translation capability. Since then, we’ve been talking with a number of people regarding this groundbreaking service that will be released in 2010. Don DePalma, Chief Research Officer at Common Sense Advisory wrote a post on the 17th of December about this feature. [...]
I liked reading the DaVinci code, Dan Brown’s fictional mystery novel, so thought I’d give his newest bestseller a try. The Lost Symbol deals with codes and puzzles as you’d expect, but much to my surprise one of the main characters in the book, Katherine Solomon, asks Trish Dunne, a “metasystems” programmer, to do a [...]
The appeal of a unified index to search all of an organization’s collections is undeniable. Lightning fast results make you feel as though you are searching Google, and this is particularly appealing for those trained to research on some of the more popular, less credible search engines. There are, however, some problems with the unified [...]
Republished from the Federated Search Blog.
Abe (founder of Deep Web Technologies and sponsor of this blog) and I have been talking about the contest Deep Web Technologies is sponsoring. We want it to appeal to more people, not just to people who are good at writing essays, although we appreciate good essays. So, we’re [...]
We’ve started using the phrase “next-generation” in reference to our federated search product, because it seems to us that the phrase “federated search” has become somewhat maligned and doesn’t quite capture the new capabilities and features in our product.
What are those new capabilities and features, you ask, that raise our product to the level of [...]
A couple of months ago I was having a conversation with my brother Sol, main author of the Federated Search Blog, and suggested that he do some research and see if he could determine when the term federated search was first used and write a blog post on it.
Well, so far Sol hasn’t taken me [...]
It’s self-evident that search engines return results. What many people don’t realize, is that search engines return two basic types of results: rank results and relevant results. Ranked results are preferred, because this means the search engine used some algorithm to determine the relative importance of each result from one another and [...]
Last month, I wrote Strategic Uses for Federated Search, Part 1, which discussed how federated search in marketing and brand management creates a strategic advantage for an organization.
Now I’d like to talk (briefly, at least for me) about another area where federated search represents a key strategic advantage: Intellectual property research and litigation. [...]
One of the most powerful features and benefits of Deep Web Technologies’ Explorit Federated Search, is its ability to rank the results from the myriad of collections that might be included in a federated search (a.k.a. deep web search).
This is useful for two reasons. First, it helps rank results from sources that don’t otherwise [...]
Ian Hardy wrote an interesting article entitled, the search engines of the future, where he said that the search engines of the future will incorporate advanced semantic search, voice search and make better “connections,” as in connecting-the-dots, seeing patterns and recognizing context in all its forms.
It’s a quick read, so Mr. Hardy doesn’t have the [...]
