Posts tagged "semantic search"

Zite Goes Beyond RSS: Combines News Aggregation and Social Media

In the world of search and discovery, there aren’t many viable examples that give users the information they didn’t know. For every Pandora, Netflix and Amazon, there is a Google and Facebook. But Worio (site) has other plans.

Zeitgeist

Worio has created Zite, a new site that combines news aggregation with social media. Representing the spirit of the times, Zite generates recommendations based on the content, hashtags and links shared via Twitter and Delicious.

Generated from social media sites, blogs and a combination of methods, the recommended sites are presented to the user in a format that shows them the latest news as well as older items of relevance.

Zite goes beyond your typical RSS feed.

zite_screenshot.jpg

Worio prioritizes information based on conversations and personalization. You can indicate which links you like and what you want more of. You can also combine follow terms or add and delete others.

A Special Invitation to Our Readers

Currently in private beta, Zite invites a limited number of users to test drive. Starting at midnight (PT) tonight, CMSWire readers can use this code to receive direct access into Zite and will not have to be part of the wait list process.

  • Enter your Twitter handle. Zite will create a personalized topic list based on your tweets. 
  • Customize your Follow List. You can add and remove topics and sources (e.g., CNN.com) from your Follow List as well as group them by clicking on Edit and dragging and dropping them together.
  • Find semantically related topics. Uncover a broad range of semantically related topics by clicking on topics in your Follow List or by searching new ones.

Zite's ability to learn from your behavior makes it unique. So go ahead, give Zite a try for yourself. We think you’ll be pleasantly engaged and discover things that you might not have found otherwise.

Open Text to Cash Out CDN $35 Million for Nstein

Hey, look, it took no time at all. As we predicted a little while ago, Open Text (site) is getting ready to make yet another acquisition in the Web CMS space.

This time around, it’s their Canadian neighbor Nstein Technologies Inc. (news, site) — the makers of TME (Text Mining Engine). Data mining and analysis, and not necessarily WCM or DAM, is likely the main focus of this deal.

(Still) Continuing the CMS Quilting Exercise

As if the RedDot and Vignette saga wasn’t enough, Open Text is bringing on yet another Web CMS product into its quilt of content management technologies.

With Nstein, however, there’s also a nice touch of semantic search technologies, as we in detail showed you recently, when the vendor released Semantic Site Search (3S). Not to mention Nstein's Text Mining Engine (TME), which we think might be the main focus of this deal.

The Deal

As of now, the two entered into a definitive agreement, by which Open Text will acquire all of the issued and outstanding common shares of Nstein through an Nstein shareholder-approved amalgamation with a subsidiary of Open Text under the Companies Act (Québec).

Nstein shareholders will receive CDN $0.65 in cash for each Nstein common share. As of Friday 02/19/2010, Nstein shares were at $0.34, with average volume of 28,675 shares and the 52-week range from $0.23 to $0.55. All in all, not a bad deal for Nstein shareholders, as the Open Text purchase price represents a premium of approximately 100% above the 30-day trading average.

The entire transaction is valued at approximately CDN $35 million.

What to Expect

The transaction is expected to close in Q2, if two-thirds of Nstein’s shareholders agree, making Open Text shareholders warm and fuzzy, and showing some growth (albeit, not organic) for Open Text itself.

Aside from upcoming layoffs at Nstein, we have a feeling that Open Text will concentrate on the data mining side of things with Nstein and, eventually, stop supporting the WCM/digital publishing arm of Nstein (after milking that cash cow).

Nstein has been doing a good job on the data mining and semantic search fronts lately, and there’s enough products in Open Text portfolio as it is to publish pages and manage digital assets, but:

A - decent, in-house built semantic search engine

B - Sentiment Analysis engine

C - Image-based search

D - data mining through Text Mining Engine (TME) (would be a nice addition to Vignette, no?)

are all, more or less, a breath of fresh air for Open Text.

As Open Text’s president and CEO John Shackleton hinted, "Nstein will … add complementary technology and expertise that enhances our ECM solutions portfolio."

Some of Nstein's rich media management technology can be weaved in nicely with one of Open Text's previous acquisitions — Vizible (check our coverage of that here). Vizible’s solutions provide the ability to create rich visual user experiences, including 3D navigation, and cross-channel content delivery (cell phones, PDAs, web).

Given the fact that we haven't heard anything about what Vizible is doing since the acquisition, we think that will change soon, as Open Text starts working on the marriage of Vizible and Nstein.

Another stranger we haven't heard from is Open Text Social Media product. Do you see any opportunities for Nstein's technology there?

It will be interesting to see what happens to Picdar, a U.K. digital asset management (DAM) vendor that Nstein acquired back in 2008. Open Text’s Artesia acquisition does precisely DAM, and there’s no good DAM reason to combine the two products, maybe only to continue selling them both (yet, with focus on the more expensive Artesia), but to different market segments.