We aim to make articles, white papers and discussion documents available here from time to time. Please return periodically to view progress and additions to the library.

White Papers

Papers published in the public domain.

• Financial Securities Ontologies: An Exploration
• Proof-of-concept paper on what an ontology might look like for financial securitues, using the example of an equity instrument.
• Domain Modelling Tools
• Details of the main tools available for modelling of business domain information. This covers both structural models (ontology) and behavioural models (process or choreography).
• Enterprise Semantics
• An exploration of the issues around the management of enterprise data, with a particular emphasis on the importance of identiying common meanings for terms across the organisation.
• Requirements Management considerations for XML Standards
• Published by London Market Systems, 2003
• An exploration of the issues around enterprise data management. This paper carries a particular emphasis on the importance of identifying common meanings for terms. Some of the details are now out of date.

Presentations

Presentations given to industry, on subjects such as Semantic Web applications and the meanings of various scare words like Taxonomy and Ontology.

• Business Domain Modelling Principles
• A PowerPoint presentation providing an overview of the principles of business domain modelling, in particular the static (data) aspect of business semantics. It covers the theory and background of ontology modelling, and gives some practical examples using the TopBraid Composer tool from TopQuadrant.

Technical Notes

Technical notes and discussion papers. These were usually written in the course of trying to understand or explain some issue relevant in the development of industry standards at the time.

• Structural Domain Modelling Tools
• Simple definitions of how the models of business data requirements can be managed. It explains the concepts of Taxonomy, Ontology and related buzz-words in a simple framework.
• Representing Time in Market Data
• An exploration of the modelling issues involved when understanding the different time characteristics of different elements of market data; for example, past, present and projected debt coupon amounts. The paper addresses whether these issues can be resolved simply by using a time series or tagging individual messages. Prepared as part of work on the FISD's Securities Model Working Group.