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Big Data Perspective with Otological Modeling for Long Term Traceability of Cultural Heritage

Abstract : The 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.
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Muhammad Naeem, Muhammad Fahad, Néjib Moalla, Yacine Ouzrout, Abdelaziz Bouras. Big Data Perspective with Otological Modeling for Long Term Traceability of Cultural Heritage. 12th IFIP International Conference on Product Lifecycle Management (PLM 2015), Oct 2015, Doha, Qatar. pp.562-571, ⟨10.1007/978-3-319-33111-9_51⟩. ⟨hal-01377482⟩

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