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
What is Software Architecture and How to Select an Effective Architect
What is Software Architecture? Originally published as What is Software Architecture on August 1, 2010 As Howard Roark pointed out in “The Fountainhead” the difference between an artist and an architect, is that an architect needs a client. Software Architecture is the design of the major components of complex information systems, and how they interact...Continue reading→
A Semantic Enterprise Architecture
We do enterprise architectures, service-oriented architectures, and semantics. I suppose it was just a matter of time until we put them together. This essay is a first look at what a semantic enterprise architecture might look like. What problem are we trying to solve? There are several problems we would like to address with semantic...Continue reading→
Dublin Core and Owl
Why isn’t there an OWL version of Dublin Core? We’ve known about the Dublin Core (http://www.dublincore.org/) pretty much forever. We know it has a following in Library Science and content management systems, and Adobe uses their tags as the basis for the XMP (www.adobe.com/products/xmp/). And we knew that at least one of the original architects...Continue reading→
The Case for the Shared Service Lite
When are Two Service Implementations Better than One? The Case for the Shared Service Lite One of the huge potential benefits of an SOA is the possibility of eliminating the need to re-implement large chunks of application functionality by using shared services. For instance, rather than each application writing its own correspondence system to create...Continue reading→
White Paper: Business Vocabularies
Most companies of any size have created an internal Tower of Babel that frustrates all attempts to integrate their disparate systems. Download the White-paper
White Paper: Categories and Classes
Getting the categories and classes distinction right is one of the key drivers of the cost of traditional systems. We’ve been working with two clients lately, both of whom are using an ontology as a basis for their SOA messages as well as the design of their future systems. As we’ve been building an ontology...Continue reading→
Building Ontologies Visually Using OWL
Faced with the challenges of UML and other modeling notations, we developed our own Visio-based ontology authoring tool. We’ve been building large enterprise ontologies for our clients using the W3C web ontology language OWL. If you’re not familiar with OWL, think of it as a data modeling language on steroids. It also has the fascinating...Continue reading→
The Return on Investment (ROI) for Architecture
In many organizations, ROI is a euphemism for quick fix or short term payout projects. I’ve come across a couple of articles recently on either the difficulty or the impossibility of constructing a Return on Investment (ROI) analysis on enterprise architecture projects, which, of course, we would take to also include service oriented architecture projects....Continue reading→
White Paper: The Seven Faces of Dr. “Class”
The Seven Faces of Dr. “Class”: Part 1 “Class” is a heavily overloaded term in computer science. Many technologies have implemented the concept slightly differently. In this paper we look at the sum total of concepts that might be implemented under the banner of “class” and then later we’ll look at how different technologies have...Continue reading→
FOIS Keynote: Ontology-Driven Information Systems
Orginally published in October 2008 The following paper was given as a keynote address at the 5th International Conference on Formal Ontology in Information Systems held in Saarbrücken, Germany in October 2008. Title: Ontology-Driven Information Systems: Past, Present and Future Author: Michael Uschold Abstract : We trace the roots of ontology-drive information systems (ODIS) back...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.
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