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
Why Not to Use Boolean Datatypes in Taxonomies
Many taxonomies, especially well designed taxonomies with many facets, have dimensions that consist of very few, often just two categories, however this may cause more harm than it’s worth. Many taxonomies, especially well designed taxonomies with many facets, have dimensions that consist of very few, often just two categories. It is tempting to give these...Continue reading→
The Data-Centric Revolution: Data-Driven Resolution Planning
Perhaps the way to be ready for resolution is to flip from document-centric to data-centric. Build a system that expresses in real time, the on-going agreements between the many legal entities within the firm. Capture who is doing what for whom. We just completed a project with an Investment Bank, whose name you would recognize...Continue reading→
D3 the Easy Way
We’ve found ourselves working with D3(d3js.org) more and more lately, both for clients and for our own projects. So far we’ve really just begun to scratch the surface of what it can do (if you’re unfamiliar, take a moment to browse the examples). Despite our relative lack of experience with the library, we’ve been able...Continue reading→
Ontology and Taxonomy: Strange Bedfellows
Explore the relationship between Taxonomy and Ontology with this presentation by Michael Uschold from a keynote talk at the International Conference on Semantic Computing. Click Here to View The PDF The Menu (Taxonomy) vs. the Meal (Ontology) Taxonomy and Thesauri: Focus is on words, not concepts (the menu). Relationships are between terms: synonym, hyponym, broader/narrower...Continue reading→
White Paper: The Enterprise Ontology
At the time of this writing almost no enterprises in North America have a formal enterprise ontology. Yet we believe that within a few years this will become one of the foundational pieces to most information system work within major enterprises. In this paper, we will explain just what an enterprise ontology is, and more...Continue reading→
Concrete Abstractions
Gist is based on something we call “concrete abstractions” Most upper level ontologies are based on “abstract abstractions” that is, they are based on philosophical ideas that might be correct but are counter productive to try to convince business people and IT people what they are and what they mean. We have taken the...Continue reading→
Ontologies and Taxonomies
Are you struggling with how to make best use of your company’s knowledge assets that have grown overly complex? Have you wondered how to blend the more informal taxonomic knowledge with the more formal ontological knowledge? This has been a real head-scratcher for us for quite a while now. We described some breakthroughs we have...Continue reading→
How to Run a Project Over Budget by 300-500%
A Playbook you Don’t want to Follow A while back, I was working for a large consulting firm. When I was returning to the US from an overseas assignment, I was allowed to select the city I would return to. I told my boss, who was on the board of this firm, my choice. He...Continue reading→
Supersumption: Solving Common Object Oriented Problems
The idea of supersumption may solve some common Object Oriented problems. We’ve been doing training in Semantics and Description Logics lately, and have decided it’s worth emphasizing the concept of supersumption. Of course, supersumption is nothing but the inverse of subsumption: that is, if we say A subsumes B, then we have also said B...Continue reading→
The Treaty of Tordesillas
What history can teach us about semantics. Lately we’ve been grappling with the issue of how to get a Semantics Inference Engine and a Business Rules Engine to play nice in an Enterprise Architecture. Some long dormant neuron fired and the Treaty of Tordesillas was invoked as a possible exemplar. For those of you whose...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.