Geoinformation fÃ¼r alle â€“ Luftballons im Dienste der Wissenschaft. Unter dem Motto "OpenBalloonMap" vermittelt das i3mainz Grundlagen der Geoinformatik und prÃ¤sentiert...
Bisenzio. Multi-disziplinÃ¤re Erforschung eines bedeutenden etruskischen Zentrums von der jÃ¼ngeren Bronzezeit bis in die Archaische Periode
In dem archÃ¤ologischen Forschungsprojekt am Monte Bisenzio (Italien) verantwortet das i3mainz die messtechnischen Grundlagen und die nachhaltige Verwaltung der Forschungsdaten. In...
Shared thesauri of concepts are increasingly used in the process of data modelling and annotating resources in the Semantic Web. This growing family of linked data resources follows a top-down principle. In contrast, the Labeling System follows a bottom-up approach, enabling scientists working in the digital humanities to manage, create and publish their own controlled vocabularies in SKOS (Simple Knowledge Organization System). The created concepts can then be interlinked with well-known LOD (Linked Open Data) resources, a process named the â€˜Labeling Approachâ€™. The Labeling System is domain independent, while uniting perspectives of different scientific disciplines on the same label and therefore contributing to interdisciplinary collaboration for building up cross and inter-domain linked data communities. This paper addresses principles of the Labeling System in the light of archaeological use cases.
This paper presents DASIS (Distributed Archaeological Sites Information System) that serves as a virtual research environment for settlement structure analyses. In the past decade heterogeneous datasets of the West-Central European Neolithic have been generated in the context of several research projects. A key challenge is the integration of these complex project-specific data models with one-dimensional data tables of a Web GIS.
It will suggest potential ways to join archaeological data and to combine relational data structures providing spatial access on the data to enable further analysis. This scenario entails multiple problems that are prototypical and still lack a general solution. It proposes a modular data concept that is transferable to similar projects. At the same time it reviews and evaluates qualified frameworks that allow for implementing an individually tailored data model into an archaeological information system with GIS capabilities.ment of different methods for sustaining contributor participation through time and a discussion of their implications for the sustainability of the MicroPasts project and (potentially) other archaeological crowd-sourcing endeavours.