Big Data & The Semantic Web: A Perfect Combination

by Angela Guess

Jeff Bertolucci of Information Week reports, “The W3C envisions the Semantic Web as an extension rather than a replacement of the current Web — a framework that extends Web principles from documents to data. Many semantic specifications for the Web are already in place, and the W3C continues to develop more specs to standardize the technology… In a phone interview with InformationWeek, Cambridge Semantics chief technical officer CTO Sean Martin summed up the Semantic Web in a nutshell: ‘In essence, all you’re doing is tagging data and giving it a description of what it is’.”

Bertolucci continues: “‘If you can put more information in — more metadata with the data — then the software can interrogate the data to find out what the data is, and what it’s capable of,’ added Martin, who believes the rise of big data could help spur the adoption of Semantic Web technologies. Here’s why: ‘First of all, a lot of the big data efforts are still very crude,’ said Martin, referring to Hadoop and related technologies. ‘The tools are relatively immature, and you’ve got specialized people using them.’ And while the Hadoop Distributed File System (HDFS) offers many benefits, including excellent redundancy capabilities for big data operations, it has its shortcomings.”

Read more here.

photo credit: Chris P. Jobling

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