Digital heritage and semantic web technologies hold out the promise of nearly unlimited access to cultural knowledge. The problem is that cultural meaning does not reside in individual objects but in the patterns of knowledge and events, belief and thought that link them to each other and to the observer. This is why story is so important to the communication of, and meaningful understanding of culture.

DECIPHER is developing new solutions to the whole range of narrative construction, knowledge visualisation and display problems. It will change the way people access digital heritage by combining much richer, event-based metadata with causal reasoning models. This will result in a reasoning engine, virtual environment and interfaces that can help curators and visitors to present digital heritage objects as part of a coherent narrative that is directly related to the user’s interests. This will allow the user to interactively assemble, visualise and explore, not just collections of objects, but the knowledge structures that connect and give them meaning.

The partners bring together great skills and experience in the technical fields required by the project, with the authorial and curatorial authority of national institutions, the innovative impetus of a technology-based SME, and the drive to market of a large company that combines heritage and media interests.

Description in Czech
Tento projekt se zabývá vývojem nových řešení v oblasti: Digital Environment for Cultural Interfaces; Promoting Heritage, Education and Research.

Keywords
cultural heritage, semantic web, knowledge extraction, reasoning

7E11023

English

Smrž Pavel, doc. RNDr., Ph.D. - principal person responsible

Department of Computer Graphics and Multimedia
- responsible department (18.8.2011 - not assigned)
Knowledge Technology Research Group
- internal (1.1.2011 - 31.12.2013)

MRNUŠTÍK, M.: Decipher focused crawler. URL: https://www.fit.vut.cz/research/product/231/. (Software)
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KOUŘIL, J.: Semantic Enrichment Component for Decipher. URL: http://www.fit.vutbr.cz/~ikouril/SEC/SEC.tar.gz. (Software)
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DYTRYCH, J.; SMRŽ, P.; CUDRÁK, M.; PETR, M.; KOPECKÝ, M.; KUBÍK, L.; STRECHA, J.; PĚNKAVA, P.; LOSKOT, R.; LOUKOTA, P.; MACHÁČEK, J.; ŽUREK, A.; KLEBAN, M.; KRATOCHVÍLOVÁ, M.: Annotation system for Drupal. URL: http://knot.fit.vutbr.cz/annotations/4A_System_Drupal.zip. (Software)
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OTRUSINA, L.; SMRŽ, P.: Decipher Semantic Annotator. URL: http://knot09.fit.vutbr.cz:8090/http://knot.fit.vutbr.cz/annotations/server/NER.zip. (Software)
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KOUŘIL, J.: Classification Framework for Texts on Visual Arts. URL: http://www.fit.vutbr.cz/~ikouril/ClassificationDaemon/ClassificationDaemon.tar.gz. (Software)
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OTRUSINA, L.; SMRŽ, P.; SZNAPKA, J.; ŠAFÁŘ, M.: Decipher NER a Decipher IE. URL: https://www.fit.vut.cz/research/product/287/. (Software)
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BURGET, R.; SMRŽ, P. Extracting Visually Presented Element Relationships from Web Documents. International Journal of Cognitive Informatics and Natural Intelligence, 2013, vol. 2013, iss. 2, p. 13-29. ISSN: 1557-3958.
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OTRUSINA, L.; SMRŽ, P. BUT-TYPED: Using domain knowledge for computing typed similarity. Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity. Atlanta: Association for Computational Linguistics, 2013. p. 119.ISBN: 978-1-937284-48-0.
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SMRŽ, P.; DYTRYCH, J. Towards New Scholarly Communication: A Case Study of the 4A Framework. In Proceedings of the Workshop on Semantic Publications. CEUR workshop proceedings. Aachen: CEUR, 2011. iss. 2011, p. 59-70. ISBN: 978-3-642-25952-4. ISSN: 1613-0073.
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Responsibility: Smrž Pavel, doc. RNDr., Ph.D.