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Redesigning and Extending the User Interface of the Semantic Alignment and Linking Tool (SALT)- Catherine Blauvelt Large scale dataset comparison is becoming increasingly relevant to current digital projects. Comparing these datasets often poses challenges, however, when identifiers, names, and language are not the same for each. The Semantic Alignment and Linking Tool (SALT) is a tool developed by David Weigl at the Oxford e-Research Centre that helps users establish connections between complementary datasets that lack common identifiers. SALT aligns these datasets by generating possible match candidates for confirmation or disputation by the user. The tool uses semantic context from the two datasets in question to prioritize candidates for alignment, as well as their extracted features, in datasets that would be difficult to compare otherwise. The extensive features and complexity of this tool require a straightforward and user-friendly interface. This project has focused on redesigning and extending the SALT user interface to incorporate derived features as additional semantic context. Drawing from user evaluations of the tool and from other similar tools, the new interface incorporates audio features provided by the FAST project and text derived features from the WCSA+DC project, and serves as a successful remodeling of a complex semantic alignment tool.
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