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AuthorNaeem, Muhammad
AuthorFahad, Muhammad
AuthorMoalla, Néjib
AuthorOuzrout, Yacine
AuthorBouras, Abdelaziz
Available date2023-04-09T08:34:50Z
Publication Date2015
Publication NameIFIP Advances in Information and Communication Technology
ResourceScopus
URIhttp://dx.doi.org/10.1007/978-3-319-33111-9_51
URIhttp://hdl.handle.net/10576/41748
AbstractThe safeguarding of cultural heritage has brought forward the generation of heterogeneous, complex, diversified and irreplaceable digital data. It becomes difficult for an object with missing characteristics to perform the premises identification, object identification as well as its movement recording. Therefore, it is an imperative need of traceability of the cultural digital objects. In this study, we have proposed an expert system to address the issues of achieving and maintaining traceability of cultural objects. The system has employed big data technologies as well as ontological modeling capabilities to semantically trace objects. We have designed Cultural Heritage Ontology (CHOnt) that captures all the semantics for inference mechanisms. We have shown that the proposed system is capable of sound expressiveness with an immense potential in offering a scalable solution as a common vehicle through which archaeologists, IT specialists and even a non-professional can trace, evaluate, enhance, analyze and exchange all types of information. IFIP International Federation for Information Processing 2016.
Languageen
PublisherSpringer New York LLC
SubjectBig Data
Cultural Heritage Ontology
DBSCAN
Traceability
TitleBig data perspective with otological modeling for long term traceability of cultural heritage
TypeConference Paper
Pagination562-571
Volume Number467
dc.accessType Abstract Only


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