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.