KOS-based enrichment of archaeological fieldwork reports

Semantic enrichment techniques and tools based on knowledge organization systems (KOS) have an important role to play in supporting information discovery. This paper reports on work investigating and developing automatic indexing techniques (for final intellectual judgment) based on KOS. Within the UK, the OASIS online index of fieldwork events and their unpublished reports represent a major initiative to make archaeological fieldwork available to a wider public. OASIS is hosted by the Archaeology Data Service and is funded by Historic England and Historic Environment Scotland. A wide variety of organisations provide OASIS reports. Subject indexing is inconsistent and sometimes sparse, although use of standard KOS from the Forum on Information Standards in Heritage is encouraged. Results from a case study for an automatic (KOS-based) subject indexing recommendation system are reported. Findings include the need to extend the KOS entry vocabularies and the need for post-processing filters to prioritise subject indexing significant for the document in question. The paper goes on to reflect on the experience with future work in mind, including discussion of evaluation issues and positioning the approach within the context of previous work on subject indexing, automatic indexing for Name Authorities and Named Entity Recognition

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

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