Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus BASE kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

stvd-kg: A Knowledge Graph for French Electronical Program Guides

Title: stvd-kg: A Knowledge Graph for French Electronical Program Guides
Authors: VU, Hoang Giang; Friburger, Nathalie; Soulet, Arnaud; Delalandre, Mathieu
Contributors: VU, Hoang Giang; Friburger, Nathalie; Soulet, Arnaud; Delalandre, Mathieu
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Subject Terms: Semantic Web; Knowledge engineering
Description: Electronic Program Guides provide detailed information on TV programs, useful for offering user services or quality datasets. Unfortunately, their exploitation is limited by the absence of standardized semantics, text descriptions that are difficult to analyze and information that is often incomplete. We introduces here the knowledge graph stvd-kg (for the KG of large-Scale TV Dataset), which enriches a year’sworth of French TV EPGs by taking advantage of Wikidata and IMDb. This large KG (5.7M entities, 27.6M triples) contains 2.9M of publication events (corresponding to 1.7M television contents, 70k televisioncollections, and 84k named entities). To achieve this, we use an ontology adapted to TV content and its broadcasting, based on the EBU Coreontology, schema.org and RDF-schema. We also propose original mechanisms for cross-enrichment of information coming from named entity recognition and entity linking systems. Experimental evaluation of theknowledge graph stvd-kgbased on a ground truth shows its very high accuracy. The resources to construct KG stvd-kg is made publicly available at our Gitlab. The stvd-kg in Turtle format is attached below. ; The Gitlab repository includes: Resources, along with detailed instructions for reproducing the stvd-kg. Click here Evaluations of our entity linking and name entity recognition. Click here Source code and resources along with detailed instructions for processing EPGs and constructing knowledge graph. Click here
Document Type: dataset
Language: English
Relation: https://zenodo.org/records/15368241; oai:zenodo.org:15368241; https://doi.org/10.5281/zenodo.15368241
DOI: 10.5281/zenodo.15368241
Availability: https://doi.org/10.5281/zenodo.15368241; https://zenodo.org/records/15368241
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.DB6B2EEE
Database: BASE