Helicopter view of Graph Networks in DBMS

Table of Contents Introduction The new brave age of hyperlinked data Technical questions for hyperlinking data Physical Layer Logical Layer Conceptual layer By reference vs. by value Cross-References Introduction Normally IT people including architects, engineers, scientists and developers are forced to think a particular implementation of an application or a business solution in terms of the query language. Generally speaking most often it is the specific technology and infrastructure behind the scene that dictates how things should be done.

About data granularity

Table of Contents Introduction Information Conceptual, computational semiotics framework Push forward Cross-References Introduction In computer science there are many things we take for granted like the fundamental digital representation of anything with 1s and 0s. It’s often too easy to forget that when you have dived deep into the virtual realm of a computer the only thing you get is a mere representation of abstract concepts. This is our data and because they live in a machine and its peripherals they always have structure no matter how you interpret them.

Where is the gap in data modeling ?

Table of Contents Introduction Business vs Technological Factors Cross-References Introduction I was motivated to write this post from an article of Christian Kaul “Bridging the Knowledge Gap”. He is making questions about how, what is the best way to bridge the knowledge gap between data modeling experts and people from other fields ? But I think an important role that data modeling experts play is exactly that to bridge the gap between pure IT technical people like developers, database administrators, data engineers and people from other fields e.

Yet another query language, really ?

Table of Contents Introduction Cross-References Introduction Recently, I have been reading an article for yet another query language, HypergraphQL. But do we really need another query language ? I do agree that it is always good to offer the developer a variety of choices for querying a database, especially if the new query language makes it easier or perhaps better in some sense to fetch or input data.

Back to the roots, Relational Data Model

Important design and implementation principle arising from studying relational data model theory

Are our old data model standards out of shape ?

Both Topic Maps and RDF/OWL exhibit signs of aging. These signs do not indicate maturity levels but on the contrary they signal a re-examination of the data modeling, information representation problem

The three dimensions of AI and a fourth one as the key to unlock them

Although there has been significant progress with first and second generation AI systems in reasoning, learning and perceiving, abstraction has not been part of the game. The mechanism of abstraction can unify these other three processes

Many-to-Many Relationships

Associative entities are represented differently in various data models

Associative Semiotic Hypergraph based on R3DM/S3DM

The last part (6/6) of a series demonstrating Associative Semiotic Hypergraph technology

Data Modelling Topologies of a Graph Database

The associative data graph database model is still a heavy hitter, stacking up well against property graphs and triples/quadruples. Expect a comeback

A Quick Guide on How to Prevail in the Graph Database Arena

A swift introduction to the key factors that influence the performance and unification character of graph databases

Qlik Associative Model

Part 5/6 of the series Associative Data Modelling Demystified

Association in RDF Data Model

Part 4/6 of the series Associative Data Modelling Demystified

Association in Property Graph Data Model

Part 3/6 of the series Associative Data Modelling Demystified

Association in Topic Map Data Model

Part 2/6 of the series Associative Data Modelling Demystified

Relation, Relationship and Association

Part 1/6 of the series Associative Data Modelling Demystified

Know-How is How you Know

Table of Contents Introduction The Problem About Knowledge The Know-How is how you know The “I know something or someone” phrase The “I know this is true” phrase Epilogue Cross-References Introduction Perhaps there is not a better phrase to start this post than the Socratic paradox, All I know is that I know nothing This is typical of the great gap that exists between Eastern and Western way of thinking about fundamental concepts such as information, knowledge and wisdom.

Why Google shuts down Freebase ?

Freebase, the best collaborative information management system ever built

The number '3' and The Three-Faceted Abstraction Mechanism in R3DM

Part 3/3 - Towards a New Data Modelling Architecture

Atomic Information Resource (AIR)

Part 2/3 - Towards a New Data Modelling Architecture

Relational/ER Constructs in Wolfram Language

Part 1/3 - Towards a New Data Modelling Architecture


Discussion on the variable-value pair and the identity crisis on the web


Examples of R3DM illustrated with Topic Map Data Models


S3DM (Signified-Sign-Signifier) or R3DM (Resource-Representation-Realization) is a conceptual model of an information processing system based on semiosis.


Old wiki pages on R3DM ported from

Origins of a new theoretical framework on information representation

The problem of defining, representing and identifying an information resource


Neurorganon Upper Level Ontology is an attempt to define the core ontology of Web 3.0 in a practical, well defined, standardized and consistent way.

From WWW, the Uncharted World Wide Web, To GGG, the Charted Giant Global Graph

In the history of human mankind, map has always been of primary importance for any kind of human exploration. From the era of great maritime explorers to the era of brain and genome mapping, cartography has continually changed in order to meet the …