Today the Pew Center released a survey regarding the future of the Semantic Web. More than half of those responded didn’t think that the vision associated with the Semantic Web would be realized – that’s a startling conclusion, really. It’s even more remarkable given the fact that those who responded negatively didn’t think it would even happen by 2020.

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Semantic Tech & Business Conference Returns to San Francisco

Semantic Tech & Business Conference returns to San Francisco in June! Join us from June 3-7 for complete coverage of Big Data, Linked Data, Extreme Information Management, and Semantic Web. From breakthrough approaches to solving business problems to the big data implications of fast–evolving technologies, SemTechBiz provides you with an unparalleled interactive experience and delivers tangible business value. We're offering a special early rate when you register by February 17. Sign up now!

In our last post on Intelligent Healthcare, we talked a bit about Electronic Healthcare Record systems. EHR/EMR technology is an important piece of the larger set of clinical systems as it represents a patient centric organizational framework. However; EHRs are only part of a larger picture. One area that is particularly promising for the application of Semantic technology to healthcare is process management. When we discuss process management in this context, we’re not talking about traditional process management software solutions. Healthcare process management is in a sense a formalization of (medical) practice approaches that for the most part aren’t automated and in many cases likely never can be fully automated.

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Threat Management is still a relatively new concept; there is no industry standard definition for it. In fact, the few people who are talking about it right now tend to view it from at least two very different perspectives – one a product focused approach to unifying perimeter security tools and two, a practice-focused management paradigm. As it evolves, Threat Management will eventually encompass both of those perspectives and will likely become perhaps the single most important element within any given Cyber Security solution.

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Much if not all of the discussion over the past two years in regards to Healthcare Modernization has revolved around the deployment of Electronic Health Records (EHR) systems. Monies were budgeted to EHR adoption in last year’s Stimulus package and more monies will be allocated towards EHR adoption as a result of the recent Healthcare Reform package. So what does this all mean in regards to Intelligent Healthcare and the application of Semantic technology? First we’ll need to take a closer look at EHRs.

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In part 1 of the Cyber Security and Semantics series we discussed some of the highlights of how or where semantics may help transform the practice of Cyber Security. To understand the full implications of why Semantics and Semantic Technology is so crucial for Cyber Security we need to examine more of the problem space associated with.

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Some of you here already know it – many others are still asking it though – “What is the Big Deal with Semantic Technology, we don’t get it.”

Fair Enough. If we had to pick one thing that crystallizes the importance of what we’re doing and link it a problem that just about everyone in IT faces today chances are we could change industry perceptions and make some real progress.

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Over the past twenty years, a number of standards groups have arisen to develop, manage or reconcile Healthcare data or IT-related standards. Much of the focus over the past decade has been dedicated specifically to data exchange standards and identifying standard data elements for various sub-domains of Healthcare practice automation. The primary standards bodies involved in these activities include but are not limited to the following organizations:

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I decided to conduct an informal survey in an attempt to gauge the current level of adoption and growth potential for Semantic Technology as an industry vertical. The results indicate to me that while progress is being made we still need to do a better job of delivering the message – this messaging problem is the number one reason why adoption of Semantic Technologies and Semantic Methodologies is proceeding slower than we had anticipated. 

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Over the past two years I’ve tried very hard to help define the potential application for this technology area in the context of Information Technology disciplines or problem spaces – out of those efforts has come a focus on:

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Integration is more than the coding of application or data interfaces. When dealing with complex integration within or across enterprises, there must be sufficient discipline to achieve reproducible results. Furthermore, that discipline must be tailored to the unique requirements of the domain/s in question. Few domains are as complex as Healthcare. Even more important perhaps is that integration cannot be viewed outside of the context of the outcomes within the domains they are meant to serve. Technical success may not translate to process or performance improvement if the relationships between domain goals and enabling technologies aren’t properly understood. Some of the basic concepts associated with our IH include the following:

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