2000 - 2020

Twenty years at the cutting edge of information technology




Operational Python API for information management and data transformations-analytics on Associative Semiotic Hypergraph Development Framework


Data Management & Analytics Python API enables users to perform easily integration, correlation, aggregation and hypergraph exploration of multiple data resources

Cache Python ORM

CacheORM module is an enhanced OOP porting of Intersystems Cache-Python binding. Three classes are implemented CacheClient, CacheQuery and CacheClass.

RESTful API in Mathematica

Wolfram Language packages that extend functionality for RESTful APIs. It has been fully tested and documented for OrientDB multi-model database.


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


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.


Open-source Electronic Medical Record for health professionals and IT developers for multilingual medical knowledge management systems from primary care to continuing care


Neurosurgical EMR and clinical databases for parkinson, dystonia and spasticity with reports and checks for the validity and completion of records

Recent Posts

Table of Contents Introduction Two programming paradigm approaches for a NoSQL API Functional operations A glimpse from the future Epilogue Cross-References Introduction In a decade of investigating NoSQL systems, I noticed a huge effort from many vendors to create SQL compatible APIs. Yes, there is a pretty good reason behind this tendency to walk-the-line as usual. Everybody has learned to program in SQL, everybody knows how to access a DBMS using SQL.

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.

Second release of TRIACLICK on ClickHouse and MariaDB DBMS

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.

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.

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