Contributions to Proceedings:
F. Ekaputra, M. Sabou, E. Serral Asensio, S. Biffl:
"Supporting Information Sharing for Reuse and Analysis of Scientific Research Publication Data";
in: "Proceedings of the 4th Workshop on Semantic Publishing (Sepublica), co-located with the 11th Extended Semantic Web Conference (ESWC), Volume 1155",
Paper ID 06,
Effective and efficient information sharing for reuse and analysis of
scientific data from published research papers is an important challenge for researchersworking within the empirical software engineering (EMSE) domain. Currently, there is only limited support for storing empirical research data and results in a way that is easy to access and reuse for other researchers. In this paper, we propose the Systematic Knowledge Engineering Tool (SKET), an ontology-based tool to provide researchers in the EMSE domain with capabilities for storing, sharing, and verifying results within their research community. The
initial evaluation results show that SKET can address relevant needs in the EMSE community and can be considered as a foundation for advanced tool capabilities.
Empirical Software Engineering, Empirical Research, Publication Database, Ontology
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.