Semantic Technology News, Articles, & Education

Unlocking Big Data for the Masses

by Angela Guess Mare Lucas of Wired recently wrote, “Close behind ‘Big Data’ as one of the most utilized enterprise technology terms today is ‘Data Scientist.’ Many postulate that the explosion in Big Data will usher in an insatiable demand for data scientists able to slice and dice data to guide more informed decision making…

Speaker Spotlight Column: Peter Lawrence on Semantic Technology

by Charles Roe In an effort to leverage the knowledge of several of the top minds in the Data Management industry, DATAVERSITY™ has been conducting a series of interviews on some of the most relevant topics in the field today. Recently, we interviewed Peter Lawrence, a Solutions Architect at TopQuadrant. Peter will be part of…

New York Times Creates Prototype Semantic Search Engine

by Angela Guess Andy Plesser of Beet.TV reports, “The New York Times R&D Labs has created a prototype search engine that provides Times article results with embedded links to sources outside of the paper, says Michael Zimbalist, VP for Research and Operations in this conversation with Forrester Principal Analyst Joanna O’Connell. As an example, he says the search engine…

Gartner’s Tech Trends: Big Data, Semantic Tech, and NoSQL

by Angela Guess According to an article out of BizTech2.com, Gartner has identified a number of top tech trends impacting business in 2013. The list includes Big Data, Semantic Technologies, and NoSQL. Under the category of Big Data, the article states, “Gartner defines big data as high-volume, high-velocity and high-variety information assets that demand cost-effective,…

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…

Analyzing the NFL’s Big Data

by Angela Guess Derrick Harris of GigaOM reports, “When it comes to using data to determine how to build a team or manage a game, the National Football League appears years behind its professional sports brethren such as Major League Baseball and the National Basketball Association. But perhaps the increasing popularity of machine learning can…

Blekko: Human-Influenced Search

by Angela Guess Andre Bourque of Technorati recently interviewed Blekko CTO Greg Lindahl. Bourque begins, “Years ago the federal government launched a project where they had millions of documents that needed to be assessed and then declassified. It was much too large a job for human curation, so a method needed to be designed and…

Big Data & Translation

by Angela Guess Ron Powell of BeyeNetwork recently interviewed SAIC SVP Jonathan Litchman regarding the intersection of Big Data and linguistic technology. Litchman commented, “Big data, as you know, is a term used for lots of different things. When I think about big data, it depends on how big you want to get. If you…

New Release of Stardog NoSQL Database

by Angela Guess According to a new press release, “C&P LLC, the company behind Stardog, today announced the release of Stardog 1.0.2. Stardog is a NoSQL graph database based on W3C semantic web standards: SPARQL, RDF, and OWL. Stardog is a key component in Linked Data-based information integration at Fortune 500 enterprises and governments around the world.…

Hadoop, Semantic Interoperability, and the $6M Question

by Angela Guess Loraine Lawson of ITBusinessEdge has written a new article regarding Hadoop integration and semantic interoperability. She writes, “Remember the intro to The Six Million Dollar Man? Sometimes, I hear a version of that in my head when I read about Hadoop and Big Data: Gentlemen, we can rebuild data. We have the technology,…