I gave a talk on my PhD research (the GSTAR project) at the Hestia 2 event in Southampton last Thursday. Given I am still early on in the process, and having been asked to relate my work to the world of commercial archaeology, I decided to follow an overview of my research with some ideas for the future and how Linked Data approaches could be used to overhaul the (painful and convoluted) ways we manage heritage data in the UK.
Following on from the last post on this conference, the programme is now published and registration open.
I will be speaking about geosemantic technologies in archaeology and my GSTAR research, the abstract is as follows:
The semantics of heritage data is a growing area of interest with ontologies such as the CIDOC-CRM providing semantic frameworks and exemplary projects such as STAR and STELLAR demonstrating what can be done using semantic technologies applied to archaeological resources. In the world of the Semantic Web, advances regarding geosemantics have emerged to extend research more fully into the spatio-temporal domain, for example extending the SPARQL standard to produce GeoSPARQL. Importantly, the use of semantic technologies, particularly the structure of RDF, aligns with graph and network based approaches, providing a rich fusion of techniques for geospatial analysis of heritage data expressed in such a manner.
This paper will give an overview of the ongoing G-STAR research project (GeoSemantic Technologies for Archaeological Resources) with reference to broader sectoral links particularly to commercial archaeology.
Specifically, focus will be applied to approaches regarding the integration of spatial data into the heritage Global Graph and the relationship between Spatial Data Infrastructure (SDI) and Linked Data, moving beyond notions of ‘location’ as simple nodes, placenames and coordinates towards fuller support for complex geometries and advanced spatial reasoning.
Finally, the potential impacts of such research will be discussed with particular reference to the current practice of commercial archaeology, access to and publishing of (legacy, big) data, and leveraging network models to better understand and manage change within archaeological information systems.