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:
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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.
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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.
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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
White Paper: Six Axes of Decoupling
Loose coupling has been a Holy Grail for systems developers for generations. The virtues of loose coupling have been widely lauded, yet there has been little description about what is needed to achieve loose coupling. In this paper we describe our observations from projects we’ve been involved with. Coupling Two systems or two parts of...Continue reading→
White Paper: Veracity
Encarta defines veracity as “the truth, accuracy or precision of something” and that seems like a pretty good place to start. Our systems don’t model uncertainty very well, and yet that is exactly what we deal with on a day-to-day basis. This paper examines one aspect of modeling certainty, namely veracity, and begins a dialog...Continue reading→
White Paper: International Conference on Service Oriented Computing
In this write up I’ll try to capture the tone of the conference, what seemed to be important and what some of the more interesting presentations were. This was the first ever Conference on Service Oriented Computing. In some ways it was reminiscent of the first Object Oriented conference (OOPSLA in 1986): highly biased toward...Continue reading→
White Paper: How Service Oriented Architecture is Changing the Balance of Power Between Information Systems Line and Staff
As service oriented architecture (SOA) begins to become widely adopted through organizations, there will be major dislocations in the balance of power and control within IS organizations. As service oriented architecture (SOA) begins to become widely adopted through organizations, there will be major dislocations in the balance of power and control within IS organizations. In...Continue reading→
White Paper: Shedding Light on the “Shared Services” Conversation
Although there are at least seven levels of granularity to “shared services,” little time has been spent to categorize these. My observation is that although there are at least seven levels of granularity to “shared services,” little time has been spent to categorize these. Please refer to the illustration below. The degree of sharing runs...Continue reading→
Linked Data Platform
The Linked Data Platform has achieved W3C recommendation status (which is pretty much acceptance as a standard) Linked Data Platform . There are some good hints in LDP Primer and LDP Best Practices . This is the executive two paragraph treatment, to get you at least conversant with the topic. Basically, LDP says if you treat everything like a container, and use...Continue reading→
How to build an Agile Enterprise Ontology webinar with Dataversity
We recently conducted a webinar on How to Build an Agile Enterprise Ontology for Dataversity. Here are links to both the live recording and slides of the webinar from May 14, 2015.
What Will It Take to Build the Semantic Technology Industry?
I get asked this question a lot, and I’d like to get your help in answering it. As co-chairman of the Semantic Technology Conference, I see lots of customer organizations experimenting and adopting semantic technologies – especially ontology-driven development projects and semantic search tools – and seemingly as many start-ups and new products emerging to...Continue reading→
Shirky, Syllogism and the Semantic Web
Revisiting Clay Shirky’s piece on the Semantic Web A friend recently sent me the link to Clay Shirky’s piece on the Semantic Web with “I assume you’ve seen this, what do you think?” I had seen it, but I hadn’t looked at it for years. So I went back for another look. As usual, Shirky’s writing is...Continue reading→
Quantities, Number Units and Counting in gist
We have a simple and effective way in gist to represent a wide range of physical quantities such as ‘82 kg’, ‘3 meters’ and ‘20 minutes’. Each quantity has a number and a unit, such as ‘meter’ or ‘second’. In addition to these simple units, we have unit multiplication and division to represent more complex units, e.g....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.
