An Ontology-Based Method for Semantic Integration of Business Components

Building new business information systems from reusable components is today an approach widely adopted and used. Using this approach in analysis and design phases presents a great interest and requires the use of a particular class of components called Business Components (BC). Business Components are today developed by several manufacturers and are available in many repositories. However, reusing and integrating them in a new Information System requires detection and resolution of semantic conflicts. Moreover, most of integration and semantic conflict resolution systems rely on ontology alignment methods based on domain ontology. This work is positioned at the intersection of two research areas: Integration of reusable Business Components and alignment of ontologies for semantic conflict resolution. Our contribution concerns both the proposal of a BC integration solution based on ontologies alignment and a method for enriching the domain ontology used as a support for alignment.Comment: IEEE New Technologies of Distributed Systems (NOTERE), 2011 11th Annual International Conference; ISSN: 2162-1896 Print ISBN: 978-1-4577-0729-2 INSPEC Accession Number: 12122775 201

Automating Data Warehouse Design Using Ontology

International audienceRequirement Analysis is a crucial and arduous taskin data warehouse design process. We provide a solution tosupport data warehouse design, which combines need driven anddata driven design approaches. Our solution is based on ontologyrepresentation language and work results on ontology alignment.Our design method occurs in two steps. The first one, whichis interactive and semi-automatic, transforms user requirementsinto ontologies, the second step that is fully automatic, alignsthe resulting ontologies from the first step and produces anontology associated to the Multidimensional Data model. Thewaste management field will be our guideline to illustrate ourapproach

Ontological approach for Data WareHouse design

International audienceWaste management is a major concern of the various policy makers, economic and social. It is present each time he comes to launching development projects and / or development of urban infrastructure. The implementation of Data Warehousing assisting in decision making in this context, proves very useful, but at the same time a very complex task. We provide a solution to support Data Warehouse design. Our solution combines the two classical approaches to design, it is both oriented and need-oriented data. It is based on ontology representation languages an the results of work on the alignment. Our Data Warehouse design process has two stages. The first one which is interactive and semi-automatic, transforms user requirements into ontologies, the second step that is fully automatic, aligns the resulting ontologies from the first step and produces an ontology associated to the multidimensional data model. The waste management field will be our guideline to illustrate our approach