ogham.link

A Linked Open Data Hub for Ogham Research

# Linked Open Ogham Data

The Research Squirrel Engineers are intrigued by Ogham stones and the facinating Ogham alphabet.

Ogham stones and their inscriptions are well studied data sources for early medieval research. There are a lot of online data sources, but none of them is technically linked using Linked Open data. This platform serves as a Linked Open Data Hub für Ogham Research.

Link your data and we will get new knowledge!

# The Ogham Data Sources

# Selected Ogham Impressions from Wikimedia Commons

# Ogham Sites @ Wikidata

# The hybrid Linked Open Data Ogham Workflow

Florian Thiery, Timo Homburg, Sophie C. Schmidt and Martina Trognitz, CC BY 4.0, via Wikimedia Commons

# Talks and Publications

SPARQLing Geodesy for Cultural Heritage

Florian Thiery, Timo Homburg, Sophie Charlotte Schmidt, Martina Trognitz, Monika Przybilla (2020). SPARQLing Geodesy for Cultural Heritage – New Opportunities for Publishing and Analysing Volunteered Linked (Geo-)Data. In Fédération Internationale des Géomètres, Eds., FIG Working Week 2020 Proceedings, Kopenhagen, Denmark, 2020. ISBN 978-87-92853-93-6. DOI: 10.5281/zenodo.3751769.

Linked Ogham Stones

Timo Homburg, Florian Thiery (2020). Linked Ogham Stones - Semantische Modellierung und prototypische Analyse irischer Ogham-Inschriften. In Christof Schöch, Eds., DHd 2020 Spielräume: Digital Humanities zwischen Modellierung und Interpretation. Konferenzabstracts, 334-337, DOI: 10.5281/zenodo.3715379.

Linked Open Data in Action!

Florian Thiery. (2021). Linked Open Data in Action! Presented at the vDHd Pimp your Publication Workshop, Fokusthema 1, 9th April 2021. DOI: 10.5281/zenodo.4644442.

Wikidata as a research tool

Florian Thiery, Sophie Charlotte Schmidt, & Jakob Voß. (2021). Wikidata as a research tool for data modelling and integration in the humanities: Examples from the German Wikimedia Fellow Program Free Knowledge. Presented at the SORSE - International Series of Online Research Software Events (SORSE), virtual, 3rd March 2021. DOI: 10.5281/zenodo.4575127.

Research Squirrel Engineers

Sophie Charlotte Schmidt, Florian Thiery, Timo Homburg, & Martina Trognitz. (February). Research Squirrel Engineers: An independent squirrel network for RSEs in DH and archaeology. Presented at the SORSE - International Series of Online Research Software Events (SORSE), virtual, 11th February 2021. DOI: 10.5281/zenodo.4537185.

Semantic Web and LOD

Florian Thiery. (2020). B3a IT-Grundlagen für Bibliothekare Session 4: Semantic Web, LOD, 10th November 2021. DOI: 10.5281/zenodo.4266333.

SPARQLing ᚑᚌᚆᚐᚋ - Publication of Irish Ogham Stones as LOD

Sophie Charlotte Schmidt, Florian Thiery (2020). SPARQLing ᚑᚌᚆᚐᚋ - Publication of Irish Ogham Stones as LOD, ARCHEO.FOSS XIV 2020 Open software, hardware, processes, data and formats in archaeological research, virtual, 16th October 2020. DOI: 10.5281/zenodo.40917439.

SPARQLing Geodesy for Cultural Heritage

Florian Thiery, Sophie Charlotte Schmidt, Timo Homburg, Martina Trognitz, Monika Przybilla (2020). SPARQLing Geodesy for Cultural Heritage: New Opportunities for Publishing and Analysing Volunteered Linked (Geo-)Data, FIG Working Week 2020 (cancelled), Amsterdam, Netherlands, 13th May 2020. DOI: 10.5281/zenodo.3766155.

SPARQLing ᚑᚌᚆᚐᚋ Stones

Sophie Charlotte Schmidt, Florian Thiery (2020). SPARQLing ᚑᚌᚆᚐᚋ Stones: New options for analysing analog editions by digitisation in Wikidata, Graph Technologies in the Digital Humanities. Modelling the Scholarly Process, Vienna, Germany, 21th February 2020. DOI: 10.5281/zenodo.3675284.

Wikidata as a research tool

Florian Thiery, Sophie Charlotte Schmidt, & Jakob Voß. (2021). Wikidata as a research tool for data modelling and integration in the humanities: Examples from the German Wikimedia Fellow Program Free Knowledge. Presented at the SORSE - International Series of Online Research Software Events (SORSE), virtual, 3rd March 2021. Video: Youtube.

Research Squirrel Engineers

Sophie Charlotte Schmidt, Florian Thiery, Timo Homburg, & Martina Trognitz. (2021). Research Squirrel Engineers: An independent squirrel network for RSEs in DH and archaeology. Presented at the SORSE - International Series of Online Research Software Events (SORSE), virtual, 11th February 2021. Video: Youtube.

SPARQLing ᚑᚌᚆᚐᚋ - Publication of Irish Ogham Stones

Sophie Charlotte Schmidt, Florian Thiery (2020). SPARQLing ᚑᚌᚆᚐᚋ - Publication of Irish Ogham Stones as LOD, ARCHEO.FOSS XIV 2020 Open software, hardware, processes, data and formats in archaeological research, virtual, 16th October 2020. Video: Youtube.

SPARQLing ᚑᚌᚆᚐᚋ Stones

Timo Homburg, Florian Thiery (2020). ᚑᚌᚔ Linked Ogham Stones - Semantische Modellierung und prototypische Analyse irischer Ogham-Inschriften, DHd2020 Spielräume: Digital Humanities zwischen Modellierung und Interpretation, Paderborn, Germany, 5th March 2020. DOI: 10.5281/zenodo.3697059.

more to come...

more talks and papers in review and copyediting more.

# Ogham in Wikidata

WikiProject:
Irish Ogham Stones

the Project

Ogi-Ogham
Project

Q70873595

Irish ᚑᚌᚆᚐᚋ Stones in the Wikimedia Universe

Q100530634

# Data Publication

Ogham Data - Version 1.0

DOI: 10.5281/zenodo.4765603

Ogham Data - v1.0 (GitHub)

ogham/ogham-datav1

Within the Fellow-Programm Freies Wissen, we will create a semantically described, transparent Linked Open Data (LOD) data collection of Irish Ogham stones, which are open accessible in the spirit of knowledge equity. This collection will build on existing published research and can thus serve as another important research tool in the field of early medieval inscriptions.

The semantic modelling will be done in two ways. On the one hand, the data (stones, sites, words, people, etc.) will be stored in Wikidata in order to locate the data in the Linked Data Cloud and to offer the community the opportunity to participate in free knowledge in the field of Ogham inscriptions. On the other hand, the data will be stored in a separate Ogham ontology, made available via a SPARQL endpoint and linked to the stones available in Wikidata. In addition, the Ogham stones are to enable a search on Wikidata and in other Triplestores in a community-friendly web platform. Filter options for certain topics, such as words used, material or persons, as well as for geographically definable areas should be possible. In addition, integration into free GIS software is to be made possible so that scientists can carry out further analyses in their own software world.

# Ogi Ogham Project

The Ogi Ogham Project is the initial project for Linked Ogham Data. In this project we do data (Wikidata) modelling, data extraction and data analysis. Find out more at the GitHub page.

# Contributors

Florian Thiery

Sophie C. Schmidt

Timo Homburg

Jakob Voß