Implementation
One big issue with knowledge graphs and the information represented there is how to access and query the information with a user interface that offers an overview which information is available and which detailed information can be accessed and retrieved. We tested various systems that directly access RDF data but where not successful in setting up a public user interface with the resources available in this project or at UIBK. Therefore, in addition to a Knowledge Graph RDF Implementation with Graph DB we opted for the use of an established database solution that is supported by the UIBK IT. For high level resource discovery a prototype is developed based on the Mapunto System. So the three implementation systems range from high complexity (GraphDB) to low complexity (mapunto) with high usability.
Knowledge Graph
The knowledge graph is implemented in RDF and loaded to GraphDB, a semantic graph database from Ontotext that supports RDF and SPARQL. It provides inference mechanisms, full-text search integration and data virtualization, allowing implicit knowledge to be derived and relational data to be queried via SPARQL. The repository is “History of mining” and with guest/guest you may log in to change display settings of GraphDB. The knowledge graph contains all the information processed within the project.
You can access the example of the smelting site Rotholz of the semantic modelling section here
HiMAT (History of Mining) Database
The HiMAT database of the University of Innsbruck is an interdisciplinary research tool for the documentation of historical mining in Tyrol and neighbouring regions. It includes a thesaurus for the organization of relevant terms, as well as information on sites, structures, objects and historical events. Resources, observations and mining actors are also recorded. A tree view makes it possible to visualize the relationships between different sites and objects. The database thus offers comprehensive insights into the development of mining and serves as a valuable tool for research. The HiMAT database contains a subset of the data represented in the knowledge graph and links to it for an in depth exploration.
You can access the example of the smelting site Rotholz of the semantic modelling section here
Mining resource discovery
Mapunto was originally built to explore travel destinations, create personal collections and add comments and descriptions to places. The generic design of the system allowed us to modify it to create a Mining resource discovery system allowing for the discovery of places based on their types and locations as well as the historic or research events related to them. We are in the process of transferring the data to this system.