How The Internet Of Things Will Revolutionize Search – ReadWrite
As mobile devices dictate the terms of search and how results are being conveyed to end users, there’s another phenomenon that will greatly influence the future of search - very soon, we’re going to be swimming in more data than we will know what to do with.
The rise of the Internet of Things means billions of physical objects will soon generate massive amounts of data 24 hours a day. Not only will this make traditional search methods nearly impossible to use, it will also create an environment where instead of looking for things in the world, those things will be seeking us out to give us all sorts of information that will help us fix, use or buy them.

How The Internet Of Things Will Revolutionize Search – ReadWrite

As mobile devices dictate the terms of search and how results are being conveyed to end users, there’s another phenomenon that will greatly influence the future of search - very soon, we’re going to be swimming in more data than we will know what to do with.

The rise of the Internet of Things means billions of physical objects will soon generate massive amounts of data 24 hours a day. Not only will this make traditional search methods nearly impossible to use, it will also create an environment where instead of looking for things in the world, those things will be seeking us out to give us all sorts of information that will help us fix, use or buy them.

Big Data Could Be Big Pain Without Semantic Search To Help Filter It - semanticweb.com
Big Data is throwing its weight around, and perhaps not entirely the way  originally expected. Will your business be able to lift the load?
Getting onboard with semantic search technologies is one way to build  muscle to meet the challenge of filtering through the onrush of  information. “The concept of Big Data was traditionally associated with  databases and such structured information,” says Luca Scagliarini, VP,  Strategic and Business Development of Expert System.  To this end, organizations put a lot of focus on pulling that  information together in data warehouses and creating MDM (Master Data  Management) initiatives for defining and managing the entities in them.
 
But that’s just one facet of the situation. “The reality is that the  amount of information that individuals need to process is out of  control. When you refer to Big Data, more and more it is related to  unstructured information.” Much of that out there in the web stream –  newsfeeds, social networks, and other Internet sources – could be  strategic to a business. But its usefulness in many cases is assured  only if it’s identified at the right time before the information is too  old to be useful, as in the case of marketing efforts, for instance. To  be very effective in processing that information – as well as the  information that exists in traditional internal data stores – means you  need to have ways to intelligently filter it, Scagliarini says.

Big Data Could Be Big Pain Without Semantic Search To Help Filter It - semanticweb.com

Big Data is throwing its weight around, and perhaps not entirely the way originally expected. Will your business be able to lift the load?

Getting onboard with semantic search technologies is one way to build muscle to meet the challenge of filtering through the onrush of information. “The concept of Big Data was traditionally associated with databases and such structured information,” says Luca Scagliarini, VP, Strategic and Business Development of Expert System. To this end, organizations put a lot of focus on pulling that information together in data warehouses and creating MDM (Master Data Management) initiatives for defining and managing the entities in them.

 

But that’s just one facet of the situation. “The reality is that the amount of information that individuals need to process is out of control. When you refer to Big Data, more and more it is related to unstructured information.” Much of that out there in the web stream – newsfeeds, social networks, and other Internet sources – could be strategic to a business. But its usefulness in many cases is assured only if it’s identified at the right time before the information is too old to be useful, as in the case of marketing efforts, for instance. To be very effective in processing that information – as well as the information that exists in traditional internal data stores – means you need to have ways to intelligently filter it, Scagliarini says.

Experts say that typical search engines like Yahoo! and Google only pick up about 1% of the information available on the Internet. The rest of that information is considered to be hidden in the deep web, also referred to as the invisible web. So how can you find all the rest of this information? This list offers 100 tips and tools to help you get the most out of your Internet searches.

10 Search Engines to Explore the Invisible Web
The Invisible Web refers to the part of the WWW that’s not indexed by the search engines. Most of us think that that search powerhouses like Google and Bing are like the Great Oracle…they see everything. Unfortunately, they can’t because they aren’t divine at all; they are just web spiders who index pages by following one hyperlink after the other. 

10 Search Engines to Explore the Invisible Web

The Invisible Web refers to the part of the WWW that’s not indexed by the search engines. Most of us think that that search powerhouses like Google and Bing are like the Great Oracle…they see everything. Unfortunately, they can’t because they aren’t divine at all; they are just web spiders who index pages by following one hyperlink after the other. 

Remember not so very long ago how amazed you were that Google could return so many useful search results in just a split-second? Today, that kind of speed isn’t enough for many people. The real-time communications inside social networks and microblogging services such as Facebook, FriendFeed, and most of all Twitter have introduced a new immediacy to online interaction and news. Even Google concedes it’s not yet providing an adequate search experience for such real-time streams of information. (via Collecta Launches *Really* Real-Time Search Engine - BusinessWeek)

Remember not so very long ago how amazed you were that Google could return so many useful search results in just a split-second? Today, that kind of speed isn’t enough for many people. The real-time communications inside social networks and microblogging services such as Facebook, FriendFeed, and most of all Twitter have introduced a new immediacy to online interaction and news. Even Google concedes it’s not yet providing an adequate search experience for such real-time streams of information. (via Collecta Launches *Really* Real-Time Search Engine - BusinessWeek)