Data Portal @ linkeddatafragments.org

Matches in ScholarlyData for { ?s ?p This paper describes the development of an OWL DL ontology from the so-cial science codebook (schema) developed by the Seshat: Global History Databank. The ontology describes human history as a set of over 1500 time series variables and supports expression of uncertainty, temporal scoping, annotations and bibliographic references. The Seshat ontology was developed to transition from traditional social science data collection and storage tech-niques to an RDF-based semantic representation in order to support auto-mated generation of data entry and validation tools, data quality manage-ment processes, rich interlinking with the web of data, and management of the data curation lifecycle. This ontology engineering and codebook translation exercise identified several pitfalls in modelling social science codebooks with semantic web technologies; provided insights into the practical application of OWL DL to complex, real-world modelling challenges; and has enabled the construction of new, RDF-based tools to support the large-scale data curation effort in Seshat. The Seshat ontology exhibits a set of ontology design patterns for model-ling annotated and bibliographically referenced data, uncertainty or temporal bounds in standard RDF triplestores without requiring custom reasoning or storage engines. These patterns and the lessons learned from translating the Seshat codebook into RDF provide some generally useful guidance for the development and deployment of RDF models in the social sciences. Our ontology has been developed to support the large scale data collection and curation effort involved in building the Seshat: Global History Data-bank. OWL-based quality management will assure the data is suitable for statistical analysis. Publication of Seshat as high-quality, linked open data will enable other researchers to build on it.. }

• 37 abstract "This paper describes the development of an OWL DL ontology from the so-cial science codebook (schema) developed by the Seshat: Global History Databank. The ontology describes human history as a set of over 1500 time series variables and supports expression of uncertainty, temporal scoping, annotations and bibliographic references. The Seshat ontology was developed to transition from traditional social science data collection and storage tech-niques to an RDF-based semantic representation in order to support auto-mated generation of data entry and validation tools, data quality manage-ment processes, rich interlinking with the web of data, and management of the data curation lifecycle. This ontology engineering and codebook translation exercise identified several pitfalls in modelling social science codebooks with semantic web technologies; provided insights into the practical application of OWL DL to complex, real-world modelling challenges; and has enabled the construction of new, RDF-based tools to support the large-scale data curation effort in Seshat. The Seshat ontology exhibits a set of ontology design patterns for model-ling annotated and bibliographically referenced data, uncertainty or temporal bounds in standard RDF triplestores without requiring custom reasoning or storage engines. These patterns and the lessons learned from translating the Seshat codebook into RDF provide some generally useful guidance for the development and deployment of RDF models in the social sciences. Our ontology has been developed to support the large scale data collection and curation effort involved in building the Seshat: Global History Data-bank. OWL-based quality management will assure the data is suitable for statistical analysis. Publication of Seshat as high-quality, linked open data will enable other researchers to build on it.".