Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Transaction agent modelling: from experts to concepts to multi-agent systems
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
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The Transaction Graph is argued as leading to a better understanding of the concepts and relations in enterprise transactions and their semantics with business rules. This design process begins with an analysis of case study narrative through the Transactional Use-Case, using a Financial Trading case study in this evaluation. The lexicon or dictionary of words and their underlying concepts are explored in order to model transactions. Peirce logic (i.e. Peirce's visual Extential Graphs as extended by Sowa and Heaton) is then applied to the business rules to visualise the inferences in Conceptual Graphs and therefore any further possible Transaction Graph refinements. Model automation provides validation checking removing errors in semantics and syntactics. The paper demonstrates the reuse and refinement of a generic Transaction Model highlighting inference and logical operations with business rules. Additionally the paper demonstrates the reuse of the automated Transaction Model's ontology coupled with its conceptual catalogue.