Re-engineering Data with 4D Ontologies and Graph Databases

The amount of data that is being made available on the Web is increasing. This provides business organisations with the opportunity to acquire large datasets in order to offer novel information services or to better market existing products and services. Much of this data is now publicly available (e.g., thanks to initiatives such as Open Government Data). The challenge from a corporate perspective is to make sense of the third party data and transform it so that it can more easily integrate with their existing corporate data or with datasets with a different provenance. This paper presents research-in-progress aimed at semantically transforming raw data on U.K. registered companies. The approach adopted is based on BORO (a 4D foundational ontology and re-engineering method) and the target technological platform is Neo4J (a graph database). The primary challenges encountered are (1) re-engineering the raw data into a 4D ontology and (2) representing the 4D ontology into a graph database. The paper will discuss such challenges and explain the transformation process that is currently being adopted.

Published

2013. Re-engineering data with 4D ontologies and graph databases. In Proceedings of the workshops of the 25th International Conference on Advanced Information Systems Engineering, Valencia, Spain, June 17-21, X. FRANCH AND P. SOFFER, Eds. Springer, 304-31

Presented

Onto.Com 2013, co-located with CAiSE 2013, 17-21 June 2013, Valencia, Spain

Author(s)

Chris Partridge (BORO Solutions, Brunel University)
Sergio de Cesare (Brunel University)
George Foy (Brunel University)