Question at position 1 A central problem of data integration is data heterogeneity. Match the example with the heterogeneity type based on the lecture. Given two datasets:Prompt 1One is an Excel spreadsheet, the other is JSONAnswer for prompt 1 One is an Excel spreadsheet, the other is JSON[input]Prompt 2One is from a graph model, the other is from a relational modelAnswer for prompt 2 One is from a graph model, the other is from a relational model[input]Prompt 3Both datasets use the same terms to represent different conceptsAnswer for prompt 3 Both datasets use the same terms to represent different concepts[input]Prompt 4One dataset is public domain, the other was licensed from a companyAnswer for prompt 4 One dataset is public domain, the other was licensed from a company[input]Possible answersFormat heterogeneitySemantic heterogeneityGovernance heterogeneityModel heterogeneity多项填空题
A
Format heterogeneity
B
Semantic heterogeneity
C
Governance heterogeneity
D
Model heterogeneity
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Question at position 6 The following example is based on Dong & Srivastava (2015). Given two data sources with the following information: Data source 1 models flight departure and arrival time with the relation: Flight(FlightNumber, DepartureTime, ArrivalTime) Data source 2 models flight departure and arrival time with the relation: Flight(FlightNumber, Type, Time) where Type is either "departure" or "arrival". This is an example of which of the following?Semantic ambiguityInstance representation ambiguityData inconsistencyNone of the above.
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