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Evaluation Report

1. Validation Methodology

A. Semantic Validity (Primary)

The dataset was validated using the Schema.org Validator (validator.schema.org).

  • Result: 0 Errors.
  • Conclusion: The JSON-LD correctly implements the schema:CreativeWork class and the custom my:Souvenir extension with nested object properties (my:buyer -> schema:Person, my:boughtIn -> schema:City).

B. Google Rich Results (Secondary)

The dataset remains compatible with Google's Rich Results Test.

  • Result: The shift from simple strings to structured entities enhances the semantic richness without violating CreativeWork constraints.
  • Analysis: This confirms that modeling the items as cultural artifacts (CreativeWork) with rich relationships is the correct semantic approach.

C. Ontology Validation

The custom T-Box (vocabulary.ttl) was validated using the W3C RDF Validator (w3.org/RDF/Validator) and opened in Protégé to ensure logical consistency.

  • Result: Valid Turtle syntax.
  • Structure: The domain (my:Souvenir) and range (schema:Person, schema:City, schema:Date) definitions were verified to ensure logical consistency.

2. Query Testing & Competency Questions

The following SPARQL queries (see queries.txt) were executed to verify the Data Model answers the project's requirements:

  • CQ1: Select all souvenirs bought in 'Paris'

    • Query: Traverses my:boughtIn node to match schema:name "Paris".
    • Result: Retrieves "Eiffel Tower Keychain".

  • CQ2: Select all souvenirs bought after 2020

    • Query: Filters my:tripDate > "2020-12-31" (xsd:date comparison).
    • Result: Correctly retrieves items bought in recent years (e.g., Persian Rug (2025), Venetian Mask (2023), Eiffel Tower Keychain (2021), Wooden Clogs (2023), Dirndl or Lederhosen Hat (2024), Silk Scarf (2021)).

  • CQ3: Select all souvenirs that are "Clothing"

    • Query: Filters schema:genre by "Clothing".
    • Result: Retrieves "I <3 NY T-Shirt", "Dirndl or Lederhosen Hat", "Silk Scarf".

  • CQ4: Select name and city of souvenirs bought by "Alice"

    • Query: Traverses my:buyer node for "Alice" and my:boughtIn node for city name.
    • Result: Retrieves "Persian Rug" (Tabriz), "Eiffel Tower Keychain" (Paris), "Wooden Clogs" (Amsterdam).