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A-Match is a web-based software with the aim to support users in matching products/objects from different APIs. The backend provides the user with various suggestions that help him match the properties of the objects. The matching suggestions are calculated by an ontology-based scheme matching algorithm, which works with semantic, compositional-based matching methods.
Partially funded by Deutsche Forschungsgemeinschaft as part of NFDI under project number 442146713.
Spring Boot based backend server, Jaro Winkler distance, Ontology matching algorithm, Normalized Levenshtein distance, Similarity calculation, Property matching, Compositional matching methods, Label based matching algorithms, Jaccard index, API matching, Semantic matching methods, React based frontend, Scheme matching algorithm
Spring Boot based backend server, Jaro Winkler distance, Ontology matching algorithm, Normalized Levenshtein distance, Similarity calculation, Property matching, Compositional matching methods, Label based matching algorithms, Jaccard index, API matching, Semantic matching methods, React based frontend, Scheme matching algorithm
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