Semantic Arts exists to shepherd organizations on their Data-Centric journey.
Our core capabilities include:
• Semantic Knowledge Graph Development and Implementation
• Legacy Avoidance, Erosion, and Replacement
We can help your organization to fix the tangled mess of information in your enterprise systems while discovering ways to dissolve data silos and reduce integration debt.
What is Data-Centric?
Data-Centric is about reversing the priority of data and applications.
Right now, applications rule. Applications own “their” data (it’s really your data, but good luck with that). When you have 1,000 applications (which most large firms do) you have 1,000 incompatible data silos. This serves to further the entrenchment of legacy systems, with no real motivation for change.
Data-Centric says data and their models come first. Applications conform to the data, not the other way around. Almost everyone is surprised at the fundamental simplicity, once it’s been articulated.
It sounds simple, but fifty years of “application-centricity” is a hard habit to break. We specialize in helping firms make this transition. We recognize that in addition to new technology and design skills, a major part of most projects is helping shepherd the social change that this involves.
If you’re fed up with application-centricity and the IT-fad-of-the-month club, contact us.
Read More: What is Data-Centric?
What about those legacy systems?
The move to a more data-centric architecture requires thoughtful planning. Early phases look more like a surgical process of dealing with legacy applications in a way that realizes quick wins and begins to reduce costs, helping to fund future phases. Usually, it looks something like this:
-
Legacy avoidance: The recognition that a firm has slowed down or stopped launching new application systems projects, and instead relies on the data that is in the shared knowledge graph.
-
Legacy erosion: Occurs when firms take use cases that were being performed in a legacy system and instead implement them directly on the graph. Rather than wholesale legacy elimination (which is hard), this approach allows the functionality of the legacy system to be gradually decommissioned.
-
Legacy replacement: Once enough of the data, functionality, and especially integration points have been shifted to the graph, legacy systems can be replaced. Not with “legacy modernization” systems, but with lightweight standalone use cases on the graph.
Read more: Incremental Stealth Legacy Modernization
ABOUT US
THOUGHT LEADERSHIP
PROBLEMS WE SOLVE
Taking a different path STARTS NOW. Become Data-Centric to simplify and enhance your enterprise information landscape:
5 Business Reasons for Implementing a Knowledge Graph Solution
1. Comprehensive data integration
2. Contextualized knowledge discovery
3. Agile knowledge sharing and collaboration
4. Intelligent search and recommendation
5. Future-proof data strategy
Integrating semantic capabilities into enterprise business processes has been the foundational shift that organizations such as Google, Amazon, and countless others have leveraged. The results are tangible: increased market share and revenue, lower costs, better customer experiences, reduced risks, and the promotion of innovation.
Semantic Arts’ professional services deliver true solutions (not gimmicks) for current and future information management challenges.
FROM OUR BLOG
Part 4: Identify the underlying concepts
aIn the previous posts in the series, we discussed how it is important to focus on the concepts first and then the terms. Today we discuss identifying what the central concepts are in the enterprise. Every enterprise typically has a small handful of core concepts that all the other concepts hinge on. For retail manufacturing, it is...Continue reading→
Part 3: Concepts first, then terms
In my previous blog, I described how for very broad and general terms, it can be nearly impossible to get a roomful of experts to agree on a definition of the term. However, it can be relatively easy to identify a small set of core concepts that everyone agrees are central to what they are talking...Continue reading→
Spectrograph
Last night at the EDM Council meeting, Dave Newman from Wells Fargo used spectroscopy as an analogy to the process used to decompose business concepts into their constituent parts. The more I’ve been thinking about it the more I like it. Spectrograph Last week I was staring at the concept “unemployment rate” as part of...Continue reading→
The Profound Effect of Linked Data on Enterprise Systems
Jan Voskuil, of Taxonic, recently sent me this white paper. It is excellent. It’s so good I put it in the taxonomic category, “I wish I would have written this”. But since I didn’t, I did the next best thing. Jan has agreed to let us host a copy here on our web site. Enjoy...Continue reading→
How Data Became Metadata
Is it just me, or is the news that the NSA is getting off the hook on its surveillance of us because it’s just “metadata” more than a bit duplicitous? Somehow the general public is being sold this idea that if the NSA is not looking at the content of our phone calls or email,...Continue reading→
The Importance of Distinguishing between Terms and Concepts
Michael Uschold, Semantic Arts Senior Ontologist, will share a six part series on the importance of distinguishing terms from concepts when building enterprise ontologies for corporate clients. This first article summarizes five key points; each is elaborated in greater detail in the subsequent posts. (Note: The titles of each post will become linkable below as they are published.) The...Continue reading→
The re-release of DBBO: Why it’s better.
I’m writing this on an airplane as I’m watching the South Park episode where the lads attempt to save classic films from their directors who want to re-release them to make them more politically correct and appeal to new audiences. (The remake of Saving Private Ryan where all the guns were replaced with cell phones,...Continue reading→
Semantic Tech meets Data Gov
Watch out world! Eric Callmann, a vet of data governance, recently joined the Semantic Arts team as a consultant. We like his fresh and unique perspective on how to use semantic technology to help manage the mass amounts of data that could potentially drive us all mad. We did a little Q&A with Eric to...Continue reading→
The new and improved DBBO Training. One man’s journey…..
We have revamped our DBBO, Designing & Building Business Ontologies, training to include 6 days instead of 4. Our very own, Shane Price, gave his two cents about the training to help you decide if it is right for you. WHO IS SHANE? As a DBBO alum (have the certificates and everything) I am totally qualified to provide...Continue reading→
Let the Semantic Technology hype cycle begin
Gartner has, finally, nominated Semantic Technology as one of their Top Technology Trends. We’ve seen this movie before. We know how it ends. Indeed it was Gartner themselves who named the plot trajectory: the “hype cycle.” It’s worth a pause to reflect on why the hype cycle exists. The hype cycle suggests that a new technology...Continue reading→
gist: 12.x
gist: is our minimalist upper ontology. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. Our gist: ontology is free (as in free speech and free beer–it is covered under the Creative Commons 3.0 attribution share-alike license). You can use as you see fit for any purpose, just give us attribution.
Semantic Arts Plays Well With Others
Click on an icon for a synopsis of our work with these firms.
