1. Yengui, A.; Neji, M. SIAT: Tunisian Archaeological Information Systems. J. Comput. Cult. Herit. 2020, vol.13, 3. DOI: https://doi.org/10.1145/3383781.
2. France, F.G. Advances in Integrated Research Infrastructures for Science and Humanities Linked Data. In ARCHIVING 2017: Final program and proceedings. Riga, 2017, pp. 39–43.
3. Dross, K. The use of geoinformation systems in history and archeology. Historical Social Research-Historische sozialforschung. 2006, vol. 31, 3, pp. 279–287.
4. Ali, T. A.T. GIS & RS-based Archaeologies Site Documents: Gari Region, Khartoum, Sudan. In: JCCO Joint International conference on ICT in education and training, International conference on computing in Arabic, and International Conference on geocomputing (JCCO: TICET-ICCA-GECO). Tunis, 2018, pp. 68–75.
5. Toth, Z.; Balazsik, V.; Kiss A. Modern data acquisition tools in archaeology. In Modern technologies for the 3RD Millennium, 2018, Oradea, pp.117–122.
6. De Roo, B.; De Maeyer, P.; Bourgeois, J. Information Flows as Bases for Archeology-Specific Geodata Infrastructures: An Exploratory Study in Flanders. Journal of the association for information science and technology. 2016, vol. 67, 8, pp. 1928–1942.
7. Paris, L.; Liberatore, D.; Wahbeh, W. Digital Representation of Archaeological Sites. In: Less more architecture design landscape Book Series: Fabbrica della Conoscenza, 2012. vol.16, pp. 295–304.
8. National Institute of Cultural Heritage 2019. Standardy prowadzenia badań archeologicznych Cz. 2 Badania inwazyjne lądowe. Retrieved February 15, 2021 from https://www.nid.pl/upload/iblock/3c1/3c1466427ed7a94902408-ba51279661e.pdf
9. Instrukcja opracowania Karty Ewidencyjnej Zabytku Archeologicznego 2012. Retrieved April 06, 2021 from https://www.nid.pl/pl/Dla_specjalistow/Badania_i_dokumentacja/priorytet-ochrona_zabytkow_archeologicznych/edycja%202014/Instrukcja%20opracowania%20KEZA.pdf
10. https://mapy.zabytek.gov.pl/nid/
11. OMG (2017) Object Management Group Unified Modeling Language TM (OMG UML) Version 2.5.1. Retrieved February 18, 2021 from https://www.omg.org/spec/UML/2.5.1/PDF
12. ISO 19103:2015 Geographic information – Conceptual schema language. International Standardization Organization.
13. Richtlinien für Grabungsfirmen und Investoren zur Durchführung archäologischer Ausgrabungen und Prospektionen in Baden-Württemberg. 2019. Retrieved February 15, 2021 from https://www.denkmalpflege-bw.de/fileadmin/media/denkmalpflege-bw/geschichte-auftrag-struktur/firmenarchaeologie/downloadbereich/richtlinie_bw.pdf
14. Richtlinien für Grabungsfirmen und Investoren zur Durchführung archäologischer Ausgrabungen und Prospektionen in Baden-Württemberg. 2020. Retrieved February 15, 2021 from https://www.denkmalpflege-bw.de/fileadmin/media/denkmalpflege-bw/geschichte-auftrag-struktur/firmenarchaeologie/hinweise/Hinweise_ADAB_Rev_1_1.pdf
15. Richtlinien Archäologie zur Grabungs- und Prospektionsdokumentation für Fachfirmen und Forschungsinstitutionen und zur Behandlung von Grabungsfunden und Proben im Grabungsbetrieb und deren Einlieferung. 2020. Retrieved February 15, 2021 from https://lfd.hessen.de/sites/lfd.hessen.de/files/2020%20Richtlinien%20Arch%C3%A4ologie_0.pdf
16. ISO 19109:2015 Geographic information – Rules for application schema. International Standardization Organization.
17. ISO 19101-1:2014 Geographic information — Reference model — Part 1: Fundamentals.
18. ISO 19107:2019 Geographic information – Geographic information – Spatial schema.
19. OMG, 2014. Object Management Group Model Driven Architecture (MDA) MDA Guide rev. 2.0, OMG Document ormsc/2014-06-01. Retrieved February 25, 2021 from https://www.omg.org/cgi-bin/doc?ormsc/14-06-01.
20. Mesanza-Moraza, A.; García-Gómez, I.; Azkarate, A. Machine Learning for the Built Heritage Archaeological Study. J. Comput. Cult. Herit. vol.14, 1, 2020. DOI: https://doi.org/10.1145/3422993.
21. Sapna, R,; Monikarani, H.G.; Mishra. S. Linked data through the lens of machine learning: an Enterprise view. In IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2019, vol. 1–6. DOI: 10.1109/ICECCT.2019.8869283.