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New 'data stories' method simplifies cultural heritage knowledge graph access

Researchers have developed a novel approach called "data stories" to make cultural heritage knowledge graphs more accessible for exploration and quality assessment. These narratives combine explanatory text, images, and executable SPARQL queries with visualized results, guiding users through complex data without requiring deep technical expertise. The authoring platform LODEON, featuring AI-supported assistants, has been introduced as a proof-of-concept to demonstrate how these data stories can enhance understanding and reveal hidden data quality issues. AI

IMPACT Enhances accessibility of specialized data for researchers and practitioners, potentially accelerating discovery in cultural heritage.

RANK_REASON The cluster describes a new research paper detailing a novel method for interacting with knowledge graphs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New 'data stories' method simplifies cultural heritage knowledge graph access

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The cluster describes a new research paper detailing a novel method for interacting with knowledge graphs. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Tabea Tietz, Torsten Schrade, Etienne Posthumus, Linnaea S\"ohn, Jonatan Jalle Steller, J\"org Waitelonis, Harald Sack ·

    From Queries to Narratives: Cultural Heritage Data Stories for Knowledge Graph Exploration and Quality Assessment

    arXiv:2609.11403v1 Announce Type: new Abstract: Cultural-heritage KGs such as the NFDI4Culture-KG contain millions of triples about artworks, music, inscriptions, historical events, and the people and places connected to them. For many users, however, discovering this knowledge c…