Olivier Bruneau

SemanticHPST: Applying Semantic Web Principles and Technologies to the History and Philosophy of Science and Technology

SemanticHPST is a project in which interacts ICT especially Semantic Web with history and philosophy of science and technology HPST. Main difficulties in HPST are the large diversity of sources and points of view and a large volume of data. So, HPST scholars need to use new tools devoted to digital humanities based on semantic web. To ensure a certain level of genericity, this project is initially based on three sub-projects: the first one to the port-arsenal of Brest, the second one is dedicated to the correspondence of Henri Poincare and the third one to the concept of energy. The aim of this paper is to present the project, its issues and goals and the first results and objectives in the field of harvesting distributed corpora, in advanced search in HPST corpora. Finally, we want to point out some issues about epistemological aspects about this project.

A SPARQL Query Transformation Rule Language — Application to Retrieval and Adaptation in Case-Based Reasoning

This paper presents SQTRL, a language for transformation rules for SPARQL queries, a tool associated with it, and how it can be applied to retrieval and adaptation in case-based reasoning (CBR). Three applications of SQTRL are presented in the domains of cooking and digital humanities. For a CBR system using RDFS for representing cases and domain knowledge, and SPARQL for its query language, case retrieval with SQTRL consists in a minimal modification of the query so that it matches at least a source case. Adaptation based on the modification of an RDFS base can also be handled with the help of this tool. SQTRL and its tool can therefore be used for several goals related to CBR systems based on the semantic web standards RDFS and SPARQL.