A Model for Format Endangerment Analysis using Fuzzy Logic
This paper presents an approach for merging information automatically aggregated from open repositories and expert knowledge related to digital preservation. The main contribution of this work is the employment of fuzzy models to support digital preservation experts with semi-automatic estimation of “endangerment level” for file formats. Our goal is to make use of a solid knowledge base automatically aggregated from linked open data repositories to detect conflicts and inaccuracies in this data in order to improve the quality of a risk analysis process. The proposed method is meant to facilitate decision making with regard to preservation of digital content in libraries and archives using domain expert knowledge. To allow reasoning, even in the case of inconsistent data, we employ fuzzy logic techniques for transforming information about formats with user friendly metrics. The goal is to bring conflicting and incorrect information to the surface for correction and improvement by community. The analysis of a survey regarding the risk factors for file formats was used as an input for the fuzzy model and is presented in the evaluation section.


["Graf, Roman", "Ryan, Heather", "Gordea, Sergiu"]
["digital preservation", "risk analysis", "linked open data", "preservation planning", "ontology matching", "information integration"]