MANTO

Available

 * https://www.manto-myth.org/manto (project website)
 * https://manto.unh.edu/ (public interface)

Editors

 * Greta Hawes, co-director
 * R. Scott Smith, co-director
 * See the acknowledgments section of the project description for other collaborators

Description
MANTO is a LOD (Linked Open Data‏)‎ digital dataset on Greek myth. It is part of the Mythlab series of digital initiatives.

MANTO uses Nodegoat, an online data-management tool, to organise its data. The data is available under a Creative Commons Attribution 4.0 License (CC-BY).

As of December 2023, it draws information from the following classical texts:
 * Aeschylus, Prometheus Bound, Seven Against Thebes
 * Apollodoros, Library and Epitome
 * Bacchylides, Odes, Dithyrambs, fragments
 * Callimachus, Hymns
 * Dionysios, Periegesis
 * D-Scholia to the Iliad bks 1-10
 * Epic fragments (Oedipodia, Thebaid, Epigoinoi, Alcmaionid, etc.)
 * Euripides, Alcestis, Cyclops, Hippolytos, Medeia, Phoinician Women, Suppliant Women, Trojan Women
 * Hesiod (and Hesiodic corpus), Ehoiai (Catalogue of Women), Shield of Heracles, Theogony, Works & Days and fragments
 * Homer, Iliad and Odyssey
 * The Homeric Hymns
 * Lindos Chronicle 
 * Lucian, Astrology
 * Lyric fragments (Myrtis, Corinna, Timocreon, Lamprocles, Ion of Chios etc.)
 * Pausanias, Periegesis
 * Peri Apiston treatises (Palaiphatos, Heracleitos, Anonymous Excerpta Vaticana)
 * Pindar, Odes and fragments
 * Pomponius Mela, Chorographia
 * Plutarch, Life of Theseus
 * Ps-Plutarch, On Rivers
 * Strabo, Geography bks 1-4, 7-10, 14-17
 * Vergil, Eclogues

From mid-2023, MANTO has also drawn information about Greek myth from ancient artifacts. An early pilot project involved working with artifacts in Australian and New Zealand collections

Documentation
The project website provides two kinds of documentation:
 * for users (text and videos)
 * for digital humanists (the project's internal Manual for Data Collection is available in the Documentation section of the website)

Data visualization
Scholars can explore the LOD triple store with a semantic search interface, via a visual map-based interface or as a graph.