On Enhancing the FFMA Knowledge Base
Ensuring the long term access to digitized content is a major concern of digital libraries. The document migration and summarization are key activities employed reach this goal. The evaluation of preservation friendliness and making recommendations for long term preservation requires deep domain knowledge which is currently not available in any integrated knowledge base. In this paper we present an approach for enhancing the automatic aggregated knowledge on computer file formats. A clustering algorithm is employed to identify related file formats and to predict missing semantic associations between file formats and software tools. This is used to improve the discovery of software tools supporting the less popular file formats.
["Gordea, Sergiu", "Graf, Roman"]
["digital preservation", "file format categorization", "related file formats", "lisbon"]