Abstract
To help close the gap between folksonomic knowledge vs. digital classical philology, based on a perceived analogy between Newtonian mechanics and evolving semantic spaces, we tested a new conceptual framework in a specific domain, the Ontology of Greek Mythology (OGM). The underlying Wikidata-based public dataset has 5377 entities with 289 types of relations, out of which 34 were used for its construction. To visualize the influence structure of a subset of 771 divine actors by other means than the force-directed placement of graph nodes, we expressed the combination of semantic relatedness plus objective vs. relative importance of these entities by their gravitational behaviour. To that end, the metaphoric equivalents of distance, mass, force, gravitational potential, and gravitational potential energy were applied, with the latter interpreted as the structuration capacity of nodes. The results were meaningful to the trained eye, but, given the very high number of contour maps and heatmaps available by our public tool, their systematic evaluation lies ahead.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Katifori, A., Halatsis, C., Lepouras, G., Vassilakis, C., Giannopoulou, E.: Ontology visualization methods—a survey. ACM Comput. Surv. 39(4), 10 (2007)
Dudáš, M., Lohmann, S., Svátek, V., Pavlov, D.: Ontology visualization methods and tools: a survey of the state of the art. Knowl. Eng. Rev. 33 (2018)
Mikhailov, S., Petrov, M., Lantow, B.: Ontology visualization: a systematic literature analysis. In: BIR Workshops (2016)
Gómez-Romero, J., Molina-Solana, M., Oehmichen, A., Guo, Y.: Visualizing large knowledge graphs: a performance analysis. Futur. Gener. Comput. Syst. 89, 224–238 (2018)
Bikakis, N., Sellis, T.: Exploration and visualization in the web of big linked data: a survey of the state of the art. arXiv preprint arXiv:1601.08059 (2016)
Bikakis, N., Liagouris, J., Krommyda, M., Papastefanatos, G., Sellis, T.: GraphVizdb: a scalable platform for interactive large graph visualization. In: 2016 IEEE 32nd International Conference on Data Engineering (ICDE), pp. 1342–1345. IEEE (2016)
Ghorbel, F., Hamdi, F., Ellouze, N., Métais, E., Gargouri, F.: Visualizing large-scale linked data with memo graph. Procedia Comput. Sci. 112, 854–863 (2017)
Le, D.H.: UFO: a tool for unifying biomedical ontology-based semantic similarity calculation, enrichment analysis and visualization. PloS One 15(7), e0235670 (2020)
Nguyen, Q.H., Le, D.H.: Similarity calculation, enrichment analysis, and ontology visualization of biomedical ontologies using UFO. Curr. Protoc. 1(4), e115 (2021)
Fruchterman, T.M., Reingold, E.M.: Graph drawing by force-directed placement. Softw. Pract. Exp. 21(11), 1129–1164 (1991)
Kobourov, S.G.: Spring embedders and force directed graph drawing algorithms. arXiv preprint arXiv:1201.3011 (2012)
Huang, Z., Wu, J., Zhu, W., Wang, Z., Mehrotra, S., Zhao, Y.: Visualizing complex networks by leveraging community structures. Phys. A Statist. Mechan. Appl. 565, 125506 (2021)
Basole, R.C., Accenture, A.I.: Mining logomaps for ecosystem intelligence. In: HICSS, pp. 1–10 (2021)
Nararatwong, R., Kertkeidkachorn, N., Ichise, R.: Knowledge graph visualization: challenges, framework, and implementation. In: 2020 IEEE 3rd International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), pp. 174–178. IEEE (2020)
Paijmans, H.: Gravity wells of meaning: detecting information‐rich passages in scientific texts. J. Document. 53(5), 520–536 (1997)
Ma, L.L., Ma, C., Zhang, H.F., Wang, B.H.: Identifying influential spreaders in complex networks based on gravity formula. Physica A 451, 205–212 (2016)
Carmi, S., Havlin, S., Kirkpatrick, S., Shavitt, Y., Shir, E.: A model of Internet topology using k-shell decomposition. Proc. Natl. Acad. Sci. 104(27), 11150–11154 (2007)
Kitsak, M., et al.: Identification of influential spreaders in complex networks. Nat. Phys. 6(11), 888–893 (2010)
Garas, A., Schweitzer, F., Havlin, S.: A k-shell decomposition method for weighted networks. New J. Phys. 14(8), 083030 (2012)
Zeng, A., Zhang, C.J.: Ranking spreaders by decomposing complex networks. Phys. Lett. A 377(14), 1031–1035 (2013)
Darányi, S., Wittek, P., Konstantinidis, K., Papadopoulos, S., Kontopoulos, E.: A Physical Metaphor to Study Semantic Drift. arXiv preprint. arXiv:1608.01298 (2016)
Pedersen, T., Pakhomov, S.V., Patwardhan, S., Chute, C.G.: Measures of semantic similarity and relatedness in the biomedical domain. J. Biomed. Inform. 40(3), 288–299 (2007)
Pastor-Sánchez, J.-A., Kontopoulos, E., Saorín, T., Bebis, T., Darányi, S.: Greek mythology as a knowledge graph: from chaos to zeus and beyond. Seman. Web J. Rev. (2021)
Syamili, C., Rekha, R.V.: Developing an ontology for Greek mythology. Electron. Lib. 36(1) (2018)
Wittek, P., Darányi, S., Kontopoulos, E., Moysiadis, T., Kompatsiaris, I.: Monitoring term drift based on semantic consistency in an evolving vector field. In: 2015 International Joint Conference on Neural Networks (IJCNN), pp. 1–8. IEEE (2015)
Mai, G., Janowicz, K., Yan, B.: Support and centrality: learning weights for knowledge graph embedding models. In: Faron Zucker, C., Ghidini, C., Napoli, A., Toussaint, Y. (eds.) EKAW 2018. LNCS (LNAI), vol. 11313, pp. 212–227. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-03667-6_14
Brank, J., Leban, G., Grobelnik, M.: Semantic annotation of documents based on Wikipedia concepts. Informatica 42(1), 23–31 (2018)
Hamdam, H., Ganascia, J.G.: Graph Centrality Measures for Boosting Popularity-Based Entity Linking. arXiv. arXiv:1712.00044 (2017)
Kerényi, K.: Die Mythologie der Griechen: Götter, Menschen und Heroen. Klett-Cotta, Stuttgart (1997)
Berti, M. (ed): Digital classical philology. In: Ancient Greek and Latin in the Digital Revolution. De Gruyter, Berlin (2019)
Zgoll, C.: Tractatus Mythologicus. De Gruyter, Berlin (2019)
Zgoll, A., Zgoll, Ch. (eds): Mythische Sphärenwechsel: Methodisch neue Zugänge zu Antiken Mythen in Orient und Okzident. De Gruyter, Berlin (2020)
McConnell, J., Hall, E.: Ancient Greek Myth in World Fiction Since 1989. Bloomsbury, London (2016)
Versnel, H.S.: Coping With the Gods: Wayward Readings in Greek Theology. Brill, Leiden (2011)
Frenzel, E.: Motive der Weltliteratur: Ein Lexikon dichtungsgeschichtlicher Längsschnitte. Alfred Kröner Verlag, Stuttgart (1976)
Frenzel, E.: Stoffe der Weltliteratur: Ein Lexikon dichtungsgeschichtlicher Längsschnitte. Alfred Kröner Verlag, Stuttgart (1970)
Seigneuret, J.C. (ed.): Dictionary of Literary Themes and Motifs, vols. 1–2. Greenwood Press, New York (1988)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Pastor-Sánchez, JA., Darányi, S., Kontopoulos, E. (2022). Expressing Significant Others by Gravitation in the Ontology of Greek Mythology. In: Garoufallou, E., Ovalle-Perandones, MA., Vlachidis, A. (eds) Metadata and Semantic Research. MTSR 2021. Communications in Computer and Information Science, vol 1537. Springer, Cham. https://doi.org/10.1007/978-3-030-98876-0_20
Download citation
DOI: https://doi.org/10.1007/978-3-030-98876-0_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-98875-3
Online ISBN: 978-3-030-98876-0
eBook Packages: Computer ScienceComputer Science (R0)