Semantic Technologies for Archaeology Resources: Results from the STAR Project
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1 Semantic Technologies for Archaeology Resources: Results from the STAR Project C. Binding, K. May 1, R. Souza, D. Tudhope, A. Vlachidis Hypermedia Research Unit, University of Glamorgan 1 English Heritage
2 STAR Project - Aims Investigate semantic technologies for integrating and cross searching datasets and associated grey literature Current situation is one of fragmented datasets and applications, with different terminology systems Need for integrative metadata framework EH have designed an upper ontology based on CRM standard
3 STAR Project - General Architecture Applications Server Side, Rich Client, Browser Web Services, SQL, SPARQL RDF Based Semantic Layer (CRM / CRMEH / SKOS) Indexing Conversion Data Mapping / Normalisation Grey literature EH thesauri, glossaries STAN RRAD MoLAS LEAP RPRE
4 Grey Literature Information Extraction (Andreas Vlachidis, Renato Souza) Looking to extract CRM-EH period, context, find, sample entities Aim to cross search within data
5 Semantic Annotations to RDF triples Example: layers were found to contain a relatively large amount of broken, unabraded pottery The phrase generates three Semantic Annotation types aligned to CRM-EH ontology: EHE1004.ContextFindDepositionEvent, EHE0005.Group, EHE0009.ContextFind <crmeh:ehe0005.group rdf:about=" <dc:source rdf:resource=" /> <crm:p2f.has_type> <crm:e55.type> <rdf:value>layers</rdf:value> <crmeh:ehp10f.is_represented_by rdf:resource=" </crm:e55.type> </crm:p2f.has_type> <crm:p3f.has_note> <crm:e62.string> <rdf:value>...this deposit. These layers were found to cont...</rdf:value> </crm:e62.string> </crm:p3f.has_note> </crmeh:ehe0005.group>
6 Multiple views possible on underlying model Previous prototype offered point to point browsing of full CRM-EH ontology Current prototype presents a different search/browsing model in user interface based on use scenarios from STAR workshops Retains the benefits of CRM standard for inter-operability,
7 RDF Data Extraction Tool
8 Resultant extracted data (RDF/XML)
9 STAR Web Services and Client Applications Windows applications Browser components Full text search Browse concept space Navigate via expansion Cross search archaeological datasets STAR Client Applications STAR Web Services English Heritage thesauri (SKOS) Grey literature indexing Archaeological Datasets (CRM) STAR Datasets
10 STAR web browser based search interface Search parameters Group details Context details Search results Sample details Find details
11 Initial search Search parameters
12 Context details Context details
13 Context find details Find details
14 Context sample details Sample details
15 Group details Group details
16 Contact Information Hypermedia Research Unit University of Glamorgan Pontypridd CF37 1DL Wales, UK C. Binding, K. May, R. Souza, D. Tudhope, A. Vlachidis {cbinding, rsouza, dstudhope,
17 References 1. Binding C., Tudhope D., May K Semantic Interoperability in Archaeological Datasets: Data Mapping and Extraction via the CIDOC CRM. Proceedings (ECDL 2008) 12th European Conference on Research and Advanced Technology for Digital Libraries, Aarhus, Lecture Notes in Computer Science, 5173, Berlin: Springer. (preprint) 2. Binding C., Tudhope D SKOS-based semantic web services: experiences from the STAR project. ISKO-UK KOnnecting KOmmunities Seminar: Sharing Vocabularies on the Web via SKOS, University College London May K., Binding C., Tudhope D A STAR is born: some emerging Semantic Technologies for Archaeological Resources. Proceedings Computer Applications and Quantitative Methods in Archaeology (CAA2008), Budapest 4. Tudhope D., Binding C., May K Semantic interoperability issues from a case study in archaeology. In: Stefanos Kollias & Jill Cousins (eds.), Semantic Interoperability in the European Digital Library, Proceedings of the First International Workshop SIEDL 2008, 88 99, associated with 5th European Semantic Web Conference, Tenerife. 05/SIEDL08-Tudhope-v3.pdf (preprint) 5. Vlachidis A, Binding C, May K, Tudhope D Excavating grey literature: A case study on rich indexing of archaeological documents by the use of Natural Language Processing techniques and knowledge based resources. Proceedings British Chapter of the International Society for Knowledge Organization (ISKO UK) Conference.
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