JaroWinklerDistance: String similarity emphasizing common prefixes

This metric aims to evaluate similarity between a generated label and a gold-standard label using the Jaro-Winkler distance, which extends the Jaro distance by giving extra weight to matching prefixes (up to four characters by default). The score lies in [0, 1].

Example:

Generate_Label_1: hasStartTimestamp

Generate_Label_2: hasStartTime

Generate_Label_3: Plant

Gold_Standard_Label: hasStartTimestamp

Result:

1. JaroWinklerDistance(Generate_Label_1, Gold_Standard_Label) = 1.00
2. JaroWinklerDistance(Generate_Label_2, Gold_Standard_Label) ≈ 0.95
3. JaroWinklerDistance(Generate_Label_3, Gold_Standard_Label) ≈ 0.40

What is being measured?

This metric captures lexical similarity weighted toward shared prefixes. It is particularly useful for property labels that follow common conventions such as has, is, or namespace stems like dc: and rdf:.