Cultural Heritage Resources Profiling: Ontology-based Approach

Autor: Filipe Castro, Jean-Philip Royer, Jérôme Pasquet, Mohammad Motasem Nawaf, Jean-Christophe Sourisseau, Jean-Marc Boi, Odile Papini, Mohamed Ben Ellefi, Djamal Merad, Pierre Drap
Přispěvatelé: Laboratoire d'Informatique et Systèmes (LIS), Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Centre Camille Jullian - Histoire et archéologie de la Méditerranée et de l'Afrique du Nord de la protohistoire à la fin de l'Antiquité (CCJ), Aix Marseille Université (AMU)-Ministère de la Culture et de la Communication (MCC)-Centre National de la Recherche Scientifique (CNRS), Texas A&M University [College Station], Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: 27th International World Wide Web Conference (WWW)
27th International World Wide Web Conference (WWW), Apr 2018, Lyon, France. pp.1489-1496, ⟨10.1145/3184558.3191598⟩
Companion of the The Web Conference 2018 on The Web Conference 2018-WWW '18
Companion of the The Web Conference 2018 on The Web Conference 2018-WWW 18
Companion Proceedings of the The Web Conference 2018
WWW (Companion Volume)
BASE-Bielefeld Academic Search Engine
CIÊNCIAVITAE
DOI: 10.1145/3184558.3191598⟩
Popis: International audience; Cultural heritage (CH) resources are very heterogeneous since the information was collected from vast diversity of cultural sites and digitally recorded in different formats. With the progress of 3D technologies , photogrammetry techniques become the adopted solution for representing CH artifacts by turning photos from small finds, to entire landscapes, into accurate 3D models. To meet knowledge representation with cultural heritage photogrammetry, this paper proposes an ontology-profiling method for modeling a real case of archaeological amphorae. The ontological profile consists of all needed information to represent a CH resource including typology attributes, geo-spatial information and photogrammetry process. An example illustrating the applicability of this profiling method to the problem of CH resources conceptualization is presented. We also outline our perspectives for using ontologies in data-driven science, in particular on modeling a complete pipeline that manages both the photogrammetric process and the archaeological knowledge.
Databáze: OpenAIRE