Extraction and mapping of CIDOC-CRM encodings from texts and other digital formats

Genereux, M. and Niccolucci, F. (2006) Extraction and mapping of CIDOC-CRM encodings from texts and other digital formats In: The 7th International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST 2006), 30 Oct - 4 Nov, Nicosia, Cyprus.

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Official URL: http://www.eg.org/EG/DL/WS/VAST/VAST06


CIDOC-CRM is a new standard for encoding a wide range of information for Cultural Heritage (CH). At present, existing CH collections are stored using all sorts of formats, sometimes proprietary, often defined roughly, which makes it difficult to share or access heterogeneous information among the CH community. There is a need for a tool to map diverse formats into CIDOC-CRM, assisted by another tool using intelligent language technology to help the mapping whenever fields are underspecified or loosely described, both tools being complementary. In some cases, it may even be better to build fragments of a CIDOC database directly from informal descriptions in natural language only, as the CH community may be reluctant to switch to new formats of data entry. Therefore, this paper focus primarily on the mapping of CH data described in natural language into CIDOC-CRM triples, the building blocks of the full CIDOC-CRM ontology. The methods exploits the propositional nature of CIDOC-CRM triples. Using WordNet as a lexical database and the WEB as corpus, we first extract triples from examples provided in the CIDOC-CRM literature, and then from text describing the medieval city of Wolfenbüttel. We show the strong points of the system and suggest where and how it could be improved. Although the triples extracted automatically from texts do not provide a full picture of the CIDOC-CRM structure buried in the textual description, our results indicate that it provides a sound initial working basis for the mapping/translation process, saving time on what would otherwise have to be done by hand.

Item Type:Contribution to conference proceedings in the public domain ( Full Paper)
Additional Information: © The Eurographics Association 2006
Uncontrolled Keywords:Intelligent language technology; Linguistics; Cultural heritage
Subjects:Q000 Languages and Literature - Linguistics and related subjects > Q100 Linguistics
G000 Computing and Mathematical Sciences > G700 Artificial Intelligence
Faculties:Faculty of Science and Engineering > School of Computing, Engineering and Mathematics > Natural Language Technology
ID Code:3212
Deposited By:Helen Webb
Deposited On:18 Nov 2007
Last Modified:17 Oct 2013 15:28

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