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Software . 2022
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Software . 2022
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A-Match

Authors: Max Möbius; Katharina Juliane Popendicker; Sarah Böning;
Abstract

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.

Keywords

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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4