Abstract
Iconography and iconology are fundamental domains when it comes to understanding artifacts of cultural heritage (CH). Iconography deals with the study and interpretation of visual elements depicted in artifacts and their symbolism, while iconology delves deeper, exploring the underlying cultural and historical meanings. Despite the advances in representing CH with Linked Open Data (LOD), recent studies show persistent gaps in the representation of iconographic and iconological statements in current knowledge graphs (KGs). To address them, this paper presents IICONGRAPH, a KG that was created by refining and extending the iconographic and iconological statements of ArCo (the Italian KG of CH) and Wikidata. The development of IICONGRAPH was also driven by a series of requirements emerging from research case studies expressed in competency questions (CQs) that were unattainable in the non-reengineered versions of the KGs. The evaluation results demonstrate that IICONGRAPH not only outperforms ArCo and Wikidata through domain-specific assessments from the literature but also serves as a robust platform for answering the formulated CQs. IICONGRAPH is released and documented in accordance with the FAIR principles to guarantee the resource’s reusability. The algorithms used to create it and assess the CQs have also been made available to ensure transparency and reproducibility. While future work focuses on ingesting more data into the KG, and on implementing it as a backbone of LLM-based question answering systems, the current version of IICONGRAPH still emerges as a valuable asset, contributing to the evolving landscape of CH representation within KGs, the Semantic Web, and beyond.
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Notes
- 1.
Iconography is the study and interpretation of visual symbols and images, often within the context of art or visual representation. It involves the identification and analysis of symbols, motifs, and elements within images in an artwork. Iconology instead involves the interpretation of images in a broader cultural and historical context, exploring the deeper layers of meaning, cultural ideologies, and socio-political influences associated with visual representations [17].
- 2.
Considering dumping as the phenomenon in which “important information for which no appropriate field was found, was forced as plain text inside a descriptive field, easy for humans to read but forever lost to any automatic tool” [2].
- 3.
Intended as the set of symbolic meanings that some CH objects (or the elements depicted in them) convey from specific cultural perspectives.
- 4.
In the mentioned study, both KGs performed poorly on the “structure” evaluation, which dealt with the possibility to differentiate between iconographic, iconological, and symbolic subjects, among other criteria explained in Sect. 4.
- 5.
- 6.
Query last run in December 2023: https://qlever.cs.uni-freiburg.de/wikidata/yKhv77.
- 7.
Query last run in December 2023: https://w.wiki/8QyF.
- 8.
Query last run in December: https://w.wiki/6BZR.
- 9.
This decision is supported by the work that presents ICON 2.0 [22], in which ArCo’s descriptions are a use case example for ICON 2.0.
- 10.
- 11.
- 12.
- 13.
In summary, a perfect schema would be able to describe actions, preiconographical elements, stories, allegories, iconographical subjects, symbols, iconological subjects, cultural phenomena, and should be able to be used in combination with a taxonomy or controlled vocabulary of art and culture.
- 14.
References
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: a nucleus for a web of open data. In: Aberer, K., et al. (eds.) ISWC ASWC 2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-76298-0_52
Barabucci, G., Tomasi, F., Vitali, F.: Supporting complexity and conjectures in cultural heritage descriptions. In: Proceedings of the International Conference Collect and Connect: Archives and Collections in a Digital Age, pp. 104–115. CEUR Workshop (2021). http://ceur-ws.org/Vol-2810/paper9.pdf
Baroncini, S., Daquino, M., Tomasi, F.: Exploring iconographical and iconological content in semantic data through art historians’ interpretations. In: La memoria digitale. Forme del testo e organizzazione della conoscenza. Atti del XII convegno annuale AIUCD, pp. 9–14. Siena (2023)
Baroncini, S., Sartini, B., van Erp, M., Tomasi, F., Gangemi, A.: Is dc:subject enough? A landscape on iconography and iconology statements of knowledge graphs in the semantic web. J. Documentation 79(7), 115–136 (2023). https://doi.org/10.1108/JD-09-2022-0207
Bruno, E., Pasqual, V., Tomasi, F.: Odi and bacodi: a study on destini incrociati by italo calvino with semantic web technologies. In: La memoria digitale. Forme del testo e organizzazione della conoscenza. Atti del XII convegno annuale AIUCD, p. 35. Siena (2023)
Carriero, V.A., et al.: ArCo: the Italian cultural heritage knowledge graph. In: Ghidini, C., et al. (eds.) ISWC 2019. LNCS, vol. 11779, pp. 36–52. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30796-7_3
Castellano, G., Digeno, V., Sansaro, G., Vessio, G.: Leveraging knowledge graphs and deep learning for automatic art analysis. Knowl.-Based Syst. 248, 108859 (2022). https://doi.org/10.1016/j.knosys.2022.108859. https://www.sciencedirect.com/science/article/pii/S0950705122004105
Daquino, M., Mambelli, F., Peroni, S., Tomasi, F., Vitali, F.: Enhancing semantic expressivity in the cultural heritage domain: exposing the zeri photo archive as linked open data. J. Comput. Cult. Herit. 10(4) (2017). https://doi.org/10.1145/3051487
Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. Language, Speech, and Communication, A Bradford Book, Cambridge (1998)
Garcia, N., et al.: A dataset and baselines for visual question answering on art. In: Bartoli, A., Fusiello, A. (eds.) ECCV 2020. LNCS, vol. 12536, pp. 92–108. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-66096-3_8
Garijo, D., Corcho, O., Poveda-Villalón, M.: FOOPS!: an ontology pitfall scanner for the fair principles. In: Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 20th International Semantic Web Conference (ISWC 2021). CEUR-WS, Online (2021). https://foops.linkeddata.es/assets/iswc_2021_demo.pdf
Isaac, A., Haslhofer, B.: Europeana linked open data – data.europeana.eu. Semant. Web 4(3), 291–297 (2013)
Lodi, G., et al.: Semantic web for cultural heritage valorisation. In: Hai-Jew, S. (ed.) Data Analytics in Digital Humanities. MMSA, pp. 3–37. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-54499-1_1
Navigli, R., Ponzetto, S.P.: BabelNet: building a very large multilingual semantic network. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 216–225 (2010)
Olderr, S.: Symbolism a Comprehensive Dictionary, 2nd edn. McFarland, London (2012)
Otto, A.F.: Mythological Japan: The Symbolisms of Mythology in Relation to Japanese Art, with Illustrations Drawn in Japan, by Native Artists - Primar. Bibliolife DBA of Bibilio Bazaar II LLC, Charleston, SC, USA (2014). Google-Books-ID: 0Ki8oAEACAAJ
Panofsky, E.: Studies in Iconology: Humanistic Themes in the Art of the Renaissance. Westview Press, Boulder (1972)
Pasqual, V., Tomasi, F.: Linked open data per la valorizzazione di collezioni culturali: il dataset mythlod. AIB studi 62(1), 149–168 (2022). https://doi.org/10.2426/aibstudi-13301. https://aibstudi.aib.it/article/view/13301
Rebele, T., Suchanek, F., Hoffart, J., Biega, J., Kuzey, E., Weikum, G.: YAGO: a multilingual knowledge base from Wikipedia, Wordnet, and Geonames. In: Groth, P., et al. (eds.) ISWC 2016. LNCS, vol. 9982, pp. 177–185. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46547-0_19
Sabah, R., Sabah, Z.: Modeling nomisma ontology and comparing solutions for uncertainty. Ph.D. thesis, Goethe University Frankfurt (2022)
Sartini, B.: Connecting works of art within the semantic web of symbolic meanings. Ph.D. thesis, Alma Mater Studiorium, University of Bologna (2023). https://doi.org/10.48676/unibo/amsdottorato/11020. http://amsdottorato.unibo.it/id/eprint/11020
Sartini, B., Baroncini, S.: A comparative study of simple and complex art interpretations in linked open data using icon ontology. In: Proceedings of the International Workshop on Semantic Web and Ontology Design for Cultural Heritage co-located with the International Semantic Web Conference 2023 (ISWC 2023). CEUR Workshop (2023). https://ceur-ws.org/Vol-3540/paper4.pdf
Sartini, B., Baroncini, S., van Erp, M., Tomasi, F., Gangemi, A.: Icon: an ontology for comprehensive artistic interpretations. J. Comput. Cult. Herit. 16(3) (2023). https://doi.org/10.1145/3594724
Sartini, B., van Erp, M., Gangemi, A.: Marriage is a peach and a chalice: modelling cultural symbolism on the semantic web. In: Proceedings of the 11th on Knowledge Capture Conference, K-CAP 2021, pp. 201–208. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3460210.3493552
Sartini, B., Gangemi, A.: Towards the unchaining of symbolism from knowledge graphs: how symbolic relationships can link cultures. In: Book of Extended Abstracts of the 10th National AIUCD Conference, AIUCD, Pisa, pp. 576–580 (2021)
Sartini, B., Nesterov, A., Libbi, C., Brate, R., Shoilee, S.B.A., Daniil, S.: Multivocal exhibition: a user-centric application to explore symbolic interpretations of artefacts from different cultural perspectives. In: ExICE - Extended Intelligence for Cultural Engagement Conference, Bologna (2023). https://spice-h2020.eu/conference/papers/posters/ExICE23_paper_7072.pdf
Sartini, B., Vogelmann, V., van Erp, M., Gangemi, A.: Comparing symbolism across Asian cultural contexts. In: Digital Humanities 2022 Conference Abstracts, pp. 358–361. DH2022 Local Organizing Committee (2022). https://dh2022.dhii.asia/abstracts/567
Vrandečić, D., Krötzsch, M.: Wikidata: a free collaborative knowledgebase. Commun. ACM 57(10), 78–85 (2014). https://doi.org/10.1145/2629489
Wilkinson, M.D., et al.: The fair guiding principles for scientific data management and stewardship. Sci. Data 3(1) (2016). https://doi.org/10.1038/sdata.2016.18
Zhao, F.: A systematic review of Wikidata in Digital Humanities projects. Digital Scholarship in the Humanities (2022). https://doi.org/10.1093/llc/fqac083
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Sartini, B. (2024). IICONGRAPH: Improved Iconographic and Iconological Statements in Knowledge Graphs. In: Meroño Peñuela, A., et al. The Semantic Web. ESWC 2024. Lecture Notes in Computer Science, vol 14665. Springer, Cham. https://doi.org/10.1007/978-3-031-60635-9_4
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