Leveraging Linked Data to develop rich discovery services for big heterogenous cultural data; the case of the National Cultural Heritage Aggregator SearchCulture.gr

Leveraging Linked Data to develop rich discovery services for big heterogenous cultural data; the case of the National Cultural Heritage Aggregator SearchCulture.gr

Γεωργιάδης, Χάρης
Παπανότη, Αγάθη
Λαγούδη, Έλενα
Αγγελάκη, Γεωργία

Ανακοίνωση σε συνέδριο (EL)
Conference paper (EN)

2024-11-18


Metadata heterogeneity is a cultural aggregator’s biggest challenge. In this paper, we will present the ten-year development of SearchCulture.gr, the Greek National Cultural Heritage Aggregator, in establishing a robust and scalable aggregation infrastructure, and a public portal, providing access to nearly 1 million objects. SearchCulture.gr's success lies in its enrichment strategy that applies state-of-the-art semantic technologies and the power of Linked Data to provide both fine-grained search capabilities and a multitude of browsing options, such as displaying objects on a map and using advanced queries to create engaging thematic exhibitions that showcase the breadth and depth of Greek cultural heritage. Thanks to this innovative semantic enrichment strategy with regards to persons, types of objects, themes, geolocations and timespans/historic periods, SearchCulture.gr effectively addresses fundamental user search questions—“who,” “when,” “what,” and “where”—resulting in very high precision in search results and overall offering the most advanced discovery services among Europeana’s national and thematic aggregators (EL)

Τεκμηρίωση (EL)
Επιστήμη ηλεκτρονικών υπολογιστών (EL)
Ανθρωπιστικές επιστήμες, διεπιστημονική προσέγγιση (EL)
Διάχυση πληροφοριών (EL)
Υπηρεσίες πληροφόρησης (EL)
Information services (EN)
Documentation (EN)
Computer Science (EN)
Humanities, interdisciplinary (EN)
Information dissemination (EN)

Aggregation (EN)
Linked data (EN)
Searchculture.gr (EN)
Europeana (EN)
Semantic enrichment (EN)

English


MBD 2024: 3rd International Conference on Museum Big Data, Αθήνα, ΕΚΠΑ, 2024-11-18 - 2024-11-19

https://creativecommons.org/licenses/by-sa/4.0/deed.el
© 2024, the authors




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