The Eras of a Legend

A LODLAM Project on Taylor Swift's Career Evolution

1. Introduction

This project explores the evolution of Taylor Swift from a local country singer in Nashville to a global pop icon. By curating and modelling 10 heterogeneous items—ranging from archival manuscripts to museum objects and digital media—this project demonstrates how Linked Open Data (LOD) technologies can connect cultural heritage across libraries, archives, and museums (LODLAM).

The core narrative is divided into four phases: The Roots, The Craft, The Reclamation, and The Legacy.

2. Project Design Strategy

The following methodology was applied to structure the unstructured cultural data:

4. Knowledge Organization Models

4.1 Theoretical Model (The Narrative)

This model visualizes the narrative structure of the project, organizing items into chronological and thematic phases.

Theoretical Model Diagram
Figure 1: Theoretical Model showing the 4 phases of career evolution.

4.2 Conceptual Model (The Ontology)

This technical blueprint maps the relationships between entities using standard ontologies (CIDOC-CRM, FRBRoo, FOAF). It translates the narrative into machine-readable logic.

Conceptual Model Diagram
Figure 2: The RDF Graph structure connecting all 10 items.

5. Knowledge Representation

5.1 Digital Edition (TEI)

The handwritten lyrics were digitally transcribed using TEI XML. Semantic entities (Place, Object) were marked up and linked to Wikidata. An XSLT transformation was used to generate a user-friendly reading view.

View Digital Edition

5.2 Knowledge Graph (RDF)

The metadata from the CSV file was transformed into RDF Triples (Turtle format) using Python, creating the backbone of the project's Knowledge Graph.

Download Macro Data: taylor_swift_graph.ttl

Download Micro Data: tei_extract.ttl

6. Project Team

Our team collaborated to bring this LODLAM project to life, with a focus on data modeling, technical implementation, and content curation.

Yuming Lian
Yuming Lian

Project Lead & Data Architect

Designed the overall conceptual framework and technical infrastructure. Responsible for relationship modeling (CIDOC-CRM), Python-based RDF generation, and overall web integration.

Yutong Li
Yutong Li

Content Curator & UX Designer

In charge of cultural material interpretation and metadata dimensions design. Implemented the TEI encoding workflow and the interpretive framework connecting artistry with thematic resilience.