Associative Semiotic Hypergraph Database in Intersystems Cache with Python Pandas

About the talk

Athanassios will provide an introduction to key concepts in the associative, semiotic, hypergraph approach. In the first half of his talk he will demonstrate the technology using R3DM/S3DM database framework system that is adapted and tuned for Intersystems Cache multi-model DBMS with a command and graphical user interface that is built in Python. In the second half he will discuss several issues of schema-full/schemaless modeling, data cleansing and data retrieval mechanisms firing up questions and answers with the audience.



A hypergraph that represents a many to many relationship of two Suppliers and their attributes on the right side of the image with two Parts and their attributes on the left side. Suppliers and Parts are associated with three instances of Catalog items and their attributes that are drawn on the center. Entities (Suppliers, Parts, Catalog Items) are illustrated with red hyperedges and their attributes are illustrated with green hypernodes.

About the speaker

Athanassios is the inventor of associative, semiotic, hypergraph multi-perspective framework for multi-model Databases. Recently, in European Wolfram Technology Conference 2017, he successfully implemented and demonstrated this technology with a database framework system that was built in OrientDB multi-model NoSQL database and coded with Wolfram Mathematica. His long-standing effort in achieving a breakthrough in data modeling area has started in September 2009. Fruits of this labour are MEDILIG, one of the top-ten SourceForge open-source electronic health record applications, NULON a top-level foundation ontology and DBAPI a functional RESTful HTTP open-source API in Wolfram Language for NoSQL databases.

Besides his current research and development interests, Athanassios has a strong research background in health information technology. He has been an IT managing director in the department of neurosurgery in the University of Athens and a research associate in the department of Computer Science, University of Sheffield. During this time he has implemented clinical software applications and published results both in speech technology and neurotechnology sectors in peer-reviewed journals and conferences.