Semantic Interoperability in Archaeological Datasets: Data Mapping and Extraction Via the CIDOC CRM

Abstract. Findings from a data mapping and extraction exercise undertaken as part of the STAR project are described and related to recent work in the area. The exercise was undertaken in conjunction with English Heritage and encompassed five differently structured relational databases containing various results of archaeological excavations. The aim of the exercise was to demonstrate the potential benefits in cross searching data expressed as RDF and conforming to a common overarching conceptual data structure schema- the English Heritage Centre for Archaeology ontological model (CRM-EH), an extension of the CIDOC Conceptual Reference Model (CRM). A semi-automatic mapping/extraction tool proved an essential component. The viability of the approach is demonstrated by web services and a client application on an integrated data and concept network

Semantic interoperability issues from a case study in Archaeology

Body cremated. Kirk McDaniel - husband.https://stars.library.ucf.edu/cfm-ch-register-vol16/1179/thumbnail.jp

The Model of Reading : Modelling principles, Definitions, Schema, Alignments

READ-IT Model of Reading -V2Executive Summary This technical report introduces the data model developed to address the systematic collection and use of reading experiences in READ-IT project. The model of reading presented in this document is meant to inform the development of the READ-IT database and tools. This document describes the methodological approach and design principles adopted in the development of the model of reading. Furthermore, this technical report describes the content of the first version of the data model of the reading experience, including a preliminary analysis of the alignments between READ-IT model of reading with CIDOC-CRM, FRBRoo, FoaF and Schema.org

Archaeology, formality & the CIDOC CRM

The CIDOC CRM is the most sophisticated, best documented and well-known ontology in the Cultural Heritage domain. So much so, that it is frequently referred to as a ‘miracle cure’ and ‘the only show in town’. Yet despite this perception, the rate of its adoption – like that of the Semantic Web with which it is frequently associated – has been glacial at best and almost exclusively by large, well-funded projects. What is hindering uptake and are there important lessons to be learned from it?In their 1999 paper ‘Formality Considered Harmful’, Shipman and Marshall identify four barriers to user interaction with formal knowledge systems: (1) The cognitive overhead required to understand the formalism, (2) The need to elicit tacit knowledge, (3) enforcing premature structure on unstructured or poorly-understood source material, (4) the problems caused by situational structure, i.e. the different needs of different users. While they note that there is no ‘silver bullet’ that addresses all of these challenges they do propose several palliatives that can assist, and therefore encourage, the transition from free to structured information where beneficial. This paper will discuss these principals in reference to current doctoral research being undertaken in archaeological data integration. While the work in question has elected to use ontologies other than the CIDOC CRM, the results derived are also likely to be of interest to the CRM community. In particular it focuses on means by which microproviders – owners of the small but important datasets that form the ‘long tail’ of excavation data – can participate in semantics-driven datasharing

The Model of Reading: Modelling principles, Definitions, Schema, Alignments

This technical report introduces the data model developed to address the systematic collection and use of reading experiences in READ-IT project. The model of reading presented in this document is meant to inform the development of the READ-IT database and tools. This document describes the methodological approach and design principles adopted in the development of the model of reading. Furthermore, this technical report describes the content of the first version of the data model of the reading experience, including a preliminary analysis of the alignments between READ-IT model of reading with CIDOC-CRM, FRBRoo, FoaF and Schema.org

A Lockpick's Guide to dataARC: Designing Infrastructures and Building Communities to Enable Transdisciplinary Research

The North Atlantic Biocultural Organization (NABO) community initiated dataARC to develop digital research infrastructures to support their work on long-term human-ecodynamics in the North Atlantic. These infrastructures were designed to address the challenges of sharing research data, the connections between those data and high-level interpretations, and the interpretations themselves. In parallel, they were also designed to support the reuse of diverse data that underpin transdisciplinary synthesis research and to contextualise materials disseminated widely to the public more firmly in their evidence base. This article outlines the research infrastructure produced by the project and reflects on its design and development. We outline the core motivations for dataARC's work and introduce the tools, platforms and (meta)data products developed. We then undertake a critical review of the project's workflow. This review focuses on our understanding of the needs of stakeholder groups, the principles that guided the design of the infrastructure, and the extent to which these principles are successfully promoted in the current implementation. Drawing on this assessment, we consider how the infrastructure, in whole or in part, might be reused by other transdisciplinary research communities. Finally, we highlight key socio-technical gaps that may emerge as structural barriers to transdisciplinary, engaged, and open research if left unaddressed

Enabling European archaeological research: The ARIADNE E-infrastructure

Research e-infrastructures, digital archives and data services have become important pillars of scientific enterprise that in recent decades has become ever more collaborative, distributed and data-intensive. The archaeological research community has been an early adopter of digital tools for data acquisition, organisation, analysis and presentation of research results of individual projects. However, the provision of einfrastructure and services for data sharing, discovery, access and re-use has lagged behind. This situation is being addressed by ARIADNE: the Advanced Research Infrastructure for Archaeological Dataset Networking in Europe. This EUfunded network has developed an einfrastructure that enables data providers to register and provide access to their resources (datasets, collections) through the ARIADNE data portal, facilitating discovery, access and other services across the integrated resources. This article describes the current landscape of data repositories and services for archaeologists in Europe, and the issues that make interoperability between them difficult to realise. The results of the ARIADNE surveys on users' expectations and requirements are also presented. The main section of the article describes the architecture of the einfrastructure, core services (data registration, discovery and access) and various other extant or experimental services. The ongoing evaluation of the data integration and services is also discussed. Finally, the article summarises lessons learned, and outlines the prospects for the wider engagement of the archaeological research community in sharing data through ARIADNE