Research and Collaboration
Kaiasm is involved in continuous research and development cycles to develop its software product, OntoKai. To maintain our best-of-breed practice in this area and our determination to rapidly advance the state of the art in knowledge representation, we are undertaking research activities and are interested in collaboration. Please get in touch if you are interested in research collaboration.
Albert Szent-Györgyi, Hungarian BiochemistSeeing what everybody else has seen and thinking what nobody else has thought.”
Research Interests
Knowledge Representation
- Ontology design, creation, visualisation and usability.
- Systematic Philosophy: metaphysics, ontology, mereology, epistemology/explanation/inference, ethics, callology, categorisation.
- Botanical growth structures for visualisation within large scale data environments.
- Early dinosaur cladistics (hence member of the Linnaean Society of London).
Artificial Intelligence
- Knowledge Graphs and Symbolic AI.
- Explainability, inference and epistemology.
- Complex knowledge representation, Knowledge Graphs, overlapping Magisteria and NeuroSymbolic AI.
- NeuroSymbolic AI: RAG, GraphRAG.
Information Science
- Technical standards development and data interoperability.
- Data ethics, deontic, consequentialist and virtue ethics.
- BComplex systems and systems thinking.
- CogSci: classification, cognitive development, cognitive bias, belief, memory, vision and attention, colour perception.
Professional Bodies and Working Groups
National Cyber-Physical Infrastructure (NCPI)
NCPI is a government and industry collaboration to amplify innovations, break down silos and build a shared vision for cyber-physical system innovation in the UK jointly led by Digital Catapult, Connected Places Catapult and the High Value Manufacturing Catapult and supported by the Department for Science, Innovation and Technology (DSIT). More information on NCPI here.
Kaiasm representatives attend the Data Sharing Working Group, an informal body supporting data sharing and interoperability within the National Critical Infrastructure sector.
Cranfield University
Kaiasm supports Cranfield University, serving on the Data Science Advisory Board. Kaiasm engaged closely in syllabus development for the Data Science Degree Apprenticeship.
The Turing Institute
Two Kaiasm staff members are Experts in Residence at the Turing Institute as part of the Turing Way programme.
Books
Ones we like (mainly) because Kaiasm personnel are mentioned.
- Data and the Built Environment by Ian Gordon and Neil Thompson, Springer, ISBN: 9783031510076
- Good Data by Sam Gilbert, Headline Publishing Group, ISBN: 9781787396364