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SPRING 2009: SEMANTIC TECHNOLOGY
SEMANTIC EDITORIAL: TONY SHAW
SEMANTIC TECHNOLOGY EDITORIAL This issue of Data Strategy Journal (DSJ) is devoted to “Semantics” and how semantic technologies relate to enterprise data management. I have a special interest in this topic both personally and professionally, so DSJ’s regular editor John Ladley has gracefully stepped aside to allow me to write the editorial for this issue. Thank you John.


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THE POWER OF SEMANTIC TECHNOLOGY: MIND OVER META: DAVID NEWMAN
THE POWER OF SEMANTIC TECHNOLOGY We have witnessed over the years the progression from basic machine languages, to higher-level procedural languages, and then to object-oriented languages.  Each advance introduced dramatic improvements in software capabilities that resulted in major leaps forward in fulfilling information technology requirements.

We are again on the verge of another major advance in the evolution of software

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SEMANTIC TECHNOLOGY AND MASTER DATA MANAGEMENT: BRIAN SCHULTE
SEMANTIC TECHNOLOGY AND MDM Master Data Management is now mainstream and those of us who have practiced it for a few years are battered, bruised and wearily displaying our scars.  Typically defined as the people, processes and systems that govern the core data (e.g. products, customers, suppliers) needed to run a business, Master Data Management (or MDM) requires painstaking work in three broad areas: data standardization, architecture, and governance:  

  • data standardization – agreeing what to call thing...
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BRINGING SEMANTIC TECHNOLOGIES TO ENTERPRISE DATA: PAUL MILLER
BRINGING SEMANTIC TECHNOLOGIES TO ENTERPRISE DATA World Wide Web inventor Sir Tim Berners-Lee declared the Semantic Web ‘open for business’ in 2008, celebrating the ratification of the SPARQL query specification by the World Wide Web Consortium (W3C); the organization of which he is Director. “I think we’ve got all the pieces to be able to go ahead and do pretty much everything,” he stated in an interview. “You should be able to implement a huge amount of the dream, we sho...
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ENTERPRISE WEB ARCHITECTURE FOR DATA: DAVID WOOD
ENTERPRISE WEB ARCHITECTURE FOR DATA The next big thing for the data management community is to give up central control and planning in order to gain scalability and robustness.

Relational database systems have been the backbone of enterprise information management since the 1970s.  The increase in enterprise information to levels beyond what traditional relational systems can effectively manage provides a generational challenge to enterprises.  Drives toward maturing data management procedures and practices (via the CMM...

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WolframAlpha: LOADED WITH POTENTIAL, SHORT ON MEANING: NEIL RADEN
WOLFRAMALPHA I haven’t been formally trained on WolframAlpha nor have I thoroughly investigated it. In fact, I’ve spent more time reading the hype about it than I have actually kicking the tires. But from the time I’ve spent, some things are already obvious. First and prominently, WolframAlpha does not rely on semantic technology, neither Semantic Web nor Linked Data concepts, and it possesses no underlying ontology driving its structure or information. Having said that, I may be mistaken when I said “no und...
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CARVING A PLACE FOR SEMANTIC TECHNOLOGY: PAUL MILLER
A PLACE IN THE ENTERPRISE Semantic Technologies have much to offer today’s successful business, with regulatory, operational and economic forces combining to require that timely and accurate data from across the enterprise be available on demand and at the point of need. Clear benefits are often disguised, though, by obscure language, serious misconceptions about what ‘the Semantic Web’ could or should be, and an unfortunate tendency to advocate ‘semantic technology’ per se rather than specific solutions to tangible busi...
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STAND AND DELIVER: LAST IN A SERIES BY GRAEME SIMSION
STAND AND DELIVER “You’re dressed up.  Big presentation today?”

“As big as they get.  Six months consulting, and today we lay the strategy on the executive team.  Most of them I haven’t even met – CEO, CFO, CIO, all twenty-six of them.  My boss will do the introduction, and then I’m up for forty-five minutes.  We’re going to blow them out of the water.  Stuff they’d never have imagined….”

“You’re looking tired.”

“Up all night writing the rep...

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The Data Strategy Journal