LAUNDERS, Ivan (2011). Evaluating the transaction graph through a financial trading case study. In: ANDREWS, Simon, (ed.) Conceptual Structures for Discovering Knowledge. Lecture notes in computer science. Lecture notes in artificial intelligence (6828). Berlin, Springer, 145-158.Full text not available from this repository.
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.
|Item Type:||Book Section|
|Additional Information:||Conceptual structures for discovering knowledge. 19th international conference on conceptual structures, ICCS 2011, Derby, UK, July 25‒29, 2011|
|Research Institute, Centre or Group:||Cultural Communication and Computing Research Institute > Communication and Computing Research Centre|
|Depositing User:||Helen Garner|
|Date Deposited:||16 Dec 2011 13:30|
|Last Modified:||09 Nov 2016 16:30|
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