ONTOLOGY-BASED WEB TOOLS for RETRIEVING PHOTOGRAMMETRIC CULTURAL HERITAGE MODELS

M. Ben Ellefi, P. Drap, O. Papini, D. Merad, J. P. Royer, M. M. Nawaf, E. Nocerino, K. Hyttinen, J. C. Sourisseau, T. Gambin, F. Castro

Research output: Contribution to journalConference article

2 Citations (Scopus)
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Abstract

A key challenge in cultural heritage (CH) sites visualization is to provide models and tools that effectively integrate the content of a CH data with domain-specific knowledge so that the users can query, interpret and consume the visualized information. Moreover, it is important that the intelligent visualization systems are interoperable in the semantic web environment and thus, capable of establishing a methodology to acquire, integrate, analyze, generate and share numeric contents and associated knowledge in human and machine-readable Web. In this paper, we present a model, a methodology and a software Web-tools that support the coupling of the 2D/3D Web representation with the knowledge graph database of Xlendi shipwreck. The Web visualization tools and the knowledge-based techniques are married into a photogrammetry driven ontological model while at the same time, user-friendly web tools for querying and semantic consumption of the shipwreck information are introduced.

Original languageEnglish
Pages (from-to)31-38
Number of pages8
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume42
Issue number2/W10
DOIs
Publication statusPublished - 17 Apr 2019
Event2019 Underwater 3D Recording and Modelling "A Tool for Modern Applications and CH Recording" - Limassol, Cyprus
Duration: 2 May 20193 May 2019

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Keywords

  • Cultural Heritage
  • Domain Knowledge
  • Ontologies
  • Photogrammetry
  • Semantic Web

Cite this

Ben Ellefi, M., Drap, P., Papini, O., Merad, D., Royer, J. P., Nawaf, M. M., Nocerino, E., Hyttinen, K., Sourisseau, J. C., Gambin, T., & Castro, F. (2019). ONTOLOGY-BASED WEB TOOLS for RETRIEVING PHOTOGRAMMETRIC CULTURAL HERITAGE MODELS. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42(2/W10), 31-38. https://doi.org/10.5194/isprs-archives-XLII-2-W10-31-2019