A BFO-ready version of gist

Dave McComb / October, 2024

Background

An upper ontology is a high-level data model that can be specialized to create a domain specific data model.  A good upper ontology is a force multiplier that can speed the development of your domain model.  It promotes interoperability and can be used as the basis for an information system.  Two domain models derived from the same upper ontology are far easier to harmonize.

gist (not an acronym, but the word meaning “get the essence of”) is an upper ontology, focused on the enterprise information systems domain.  It was initially developed by Semantic Arts in 2007 and has been refined in over 100 commercial implementation projects.

Do Data Lakes Make My Enterprise Look Data-Centric?

Examining data lakes and outlining the key attributes (understandability, usability and updateability) that are needed to make your data lake platform ready for the data centric revolution.

Data-Centric vs. Application-Centric

looking into the core differences between applications-centric and data-centric. 

Implementing a Data-Centric Architecture

Implementing a Data-Centric Architecturehe considerations that are necessary to implement each layer of a data-centric architecture.

Semantics and the DAMA Wheel

The impact of semantic standards on the concepts outlined in the DAMA data management framework. 

The Role of SemOps (Part 1)

Creation of a data pipeline to operationalize the ontology (or how to connect data management and software development).

Avoiding the Hype Cycle

With a good methodology and consistent design patterns not every important development will fall into the ‘trough of disillusionment’. 

Headless BI and the Metrics Layer

Do you really need a metrics layer when the data model is simple, and your data conforms to the model.

Zero Copy Integration

Data centric content integration without copying and mapping data from source to destination. 

Best Practices and Schools of Ontology Design  

Identification of the major schools of ontological design and where they are best applied.

How to Take Back 40-60% of Your IT Spend by Fixing Your Data

The Business Case for Knowledge Graphs

The Data-Centric Revolution

Restoring Sanity to Enterprise Information Systems

The ‘Data Centric Revolution’ shows how to be data-driven in an extensible, flexible way that is baked into organizational culture, rather than taking a typical project-by-project approach. This is required reading for organizations making the shift from applications-centric to data-centric to enable your organization to develop more efficient and successful enterprise information systems

This is the book your Systems Integrator and your Application Software vendor don’t want you to read. Enterprise IT (Information Technology) is a $3.8 trillion per year industry worldwide. Most of it is waste. We’ve grown used to projects costing tens of millions or even billions of dollars, and routinely running over budget and schedule many times over. These overages in both time and money are almost all wasted resources. However, the waste is hard to see, after being so marbled through all the products, processes, and guiding principles. That is what this book is about. We must see, understand, and agree about the problem before we can take coordinated action to address it.

This is the book your Systems Integrator and your Application Software vendor don’t want you to read. Enterprise IT (Information Technology) is a $3.8 trillion per year industry worldwide. Most of it is waste. We’ve grown used to projects costing tens of millions or even billions of dollars, and routinely running over budget and schedule many times over. These overages in both time and money are almost all wasted resources. However, the waste is hard to see, after being so marbled through all the products, processes, and guiding principles. That is what this book is about. We must see, understand, and agree about the problem before we can take coordinated action to address it.

Data Centric transformation

2020 Webinar

Zero Copy Integration

Dave McComb 
2023 EDW

A Business Case for Semantic Web

RDF* demonstration

Data-Centric Transformation

Dave MaComb
2021 EDW

Data Centric Product Recommendations at Inter IKEA

Katariina Kari (iKEA Systems)
2024 Enterprise Data Transformation Symposium

Retaining Semantics for Machine Learning: Taxonomies and Knowledge Graphs

Ashley Faith
2023 Data-Centric Transformation Symposium

Moving towards true data centricity – building semantic capabilities for FAIR implementation

Martin Romaker (Roche)
2023 Enterprise Data Transformation Symposium

Making Nokia’s SW Supply chain digital – it’s all about knowledge

Georg Gregor (Nokia)
2023 Enterprise Data Transformation Symposium

R&D Data Office approach to FAIR Data-Centric Information Architecture

Ben Gardner (AstraZeneca)
2024 Enterprise Data Transformation Symposium

The Data-Centric Architecture Forum

7th Annual In-person Event

The Data Centric Architecture Forum is designed for semantic practitioners to come together and exchange ideas on the most challenging (and promising) components of data centric architecture.

7th Annual Event Dates To Be Announced

Enterprise Data Transformation Symposium

A Two Day Virtual Symposium

This is our annual applications conference showcasing case studies of companies who are adopting data-centric principles as part of their operational infrastructure. Each conference features presentations by industry experts and case studies from companies on the front lines of data management. Participants gain access to decisions made, lessons learned and tactics for engaging key stakeholders in the data-centric journey.

Estes Park Group

A monthly online presentation and discussion forum focusing on knowledge graph and data-centric architectural trends. The Estes Park Group was initiated in 2017 when Dave McComb invited a group of semantic experts for a weekend retreat in Estes Park, CO. We invite you to join us for this open and interactive event.

gist Forum

We maintain an active gist community where practitioners and users of gist come together to discuss the gist model, implementation best practices, and evolution. Virtual meetings take place the first Thursday of each month.