Supporting Semantic Interoperability in Conservation-Restoration Domain

Niang, Cheikh; Marinica, Claudia; Markhoff, Béatrice; Leboucher, Elise; Malavergne, Olivier; Bouiller, Luc; Darrieumerlou, Claude; Laissus, Francois

doi:10.1145/3097571

Cited by 15 publications

(20 citation statements)

References 19 publications

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“…To this end, CIDOC CRM can be perceived as the "semantic glue", which connects this heterogeneous material [1]. Until now, there have been a significant number of research projects that have used CIDOC CRM for the integration of cultural data and sources, and for semantic querying/retrieval, such as ResearchSpace (museum collections data) [7], Sampo Model (cultural content, novels and historical data) [8], STAR (Semantic Technologies for Archaeological Resources) project (cultural and temporal data) [9], the DECHO (Digital Exploration of Cultural Heritage Objects) Project (archaeological data and visual media) [10], ARCHES (cultural and spatial data) [11], Wisski (Wissenschaftliche KommunikationsInfrastruktur) project (communication and documentation data) [12], DALI (Data Aggregation and Linking Interface) (preservation data) [13], DOC-CULTURE (diagnosis data) [5], PARTHENOS Project (history, linguistic studies, cultural heritage, archaeology, and related fields across the digital humanities) [14], ARIADNE (Advanced Research Infrastructure for Archaeological Dataset Networking in Europe) (archaeological data infrastructure) [15], 3D-COFORM (3D Collection Formation) (3D-digitisation data) [16], CASPAR (Cultural, Artistic and Scientific knowledge for Preservation, Access and Retrieval) (digital preservation) [17], PARCOURS project (conservation-restoration data) [18], GROPLAN Project (archaeology and 3D modelling) [19], the Papyrus Project (history of science and technology) [20], DOREMUS (musical works) [21], and the Invisibilia Project (contemporary art) [22].…”

Section: Identifying Disciplines and Tasksmentioning

confidence: 99%

“…Star Project [9], DECHO Project [10], ARCHES Project [11], PARTHENOS Project [14], ARIADNE Project [15], GROPLAN Project [19] Architecture ARCHES Project [11] CH (in general) "Sampo" portals [8], PARTHENOS Project [14], 3D-COFORM Project [16] History "Sampo" portals [8], PARTHENOS Project [14], Papyrus Project [20] Library and Archival Science WissKI Project [12], DOREMUS Project [21] Museology ResearchSpace [7], Invisibilia Project [22] Preservation Science DALI Project [13], DOC-CULTURE Project [5], CASPAR Project [17], PARCOURS Project [18] 3. Merging, Mapping and Extending the CIDOC CRM…”

Section: Archaeologymentioning

confidence: 99%

“…Furthermore, the PARCOURS ontology [18] models information about cultural objects, phenomena and features of events, data related to scientific study and related instruments, and information about applied treatments. Similar to the aforementioned cases, the PARCOURS ontology extends the CIDOC CRM and CRMsci, defining new, more specialized entities and relations between them.…”

Section: Extending Approachesmentioning

confidence: 99%

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Semantic Bridging of Cultural Heritage Disciplines and Tasks

et al. 2019

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The Cultural Heritage (CH) domain encompasses a wide range of different disciplines, serving the study, interpretation, curation, and preservation of objects, collections, archives, sites, and the dissemination of related knowledge. In this context, stakeholders generate, retrieve, and share a vast amount of diverse information. Therefore, information interoperability has been considered a crucial task, especially in terms of semantics. In this way, the CIDOC CRM (International Committee for Documentation Conceptual Reference Model) has been widely used as an underlying model that offers interoperability between CH domain metadata standards and ontologies. To the best of our knowledge, an overall review of mapping, merging, and extending this core ontology, as well as an aggregate table which classifies and correlates those ontologies and standards, has not yet been presented. Our study conducts an aggregate review of relevant published efforts and outlines the various associations between them, encapsulating the CIDOC CRM and its specialized models, as well. This work aims to further clarify the field and scope of the different works, identify their methods, and highlight the semantic overlap, or differences, between them.

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Section: Identifying Disciplines and Tasksmentioning

confidence: 99%

Section: Archaeologymentioning

confidence: 99%

Section: Extending Approachesmentioning

confidence: 99%

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Semantic Bridging of Cultural Heritage Disciplines and Tasks

et al. 2019

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“…Both this photogrammetry process and the body of surveyed objects were ontologically formalized and expressed in OWL2. The use of ontologies to manage cultural heritage advances every year and generates interesting perspectives for its continued study (Bing et al 2014;Lodi et al 2017;Niang et al 2017;Noardo 2017). The ontology developed within the framework of this project takes into account the manufactured items surveyed and the photogrammetry process which is used to measure them.…”

Section: In Underwater Archaeologymentioning

confidence: 99%

Deepwater Archaeological Survey: An Interdisciplinary and Complex Process

Drap

Papini

Merad

et al. 2019

3D Recording and Interpretation for Maritime Archaeology

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This chapter introduces several state of the art techniques that could help to make deep underwater archaeological photogrammetric surveys easier, faster, more accurate, and to provide more visually appealing representations in 2D and 3D for both experts and public. We detail how the 3D captured data is analysed and then represented using ontologies, and how this facilitates interdisciplinary interpretation and cooperation. Towards more automation, we present a new method that adopts a deep learning approach for the detection and the recognition of objects of interest, amphorae for example. In order to provide more readable, direct and clearer illustrations, we describe several techniques that generate different styles of sketches out of orthophotos developed using neural networks. In the same direction, we present the Non-Photorealistic Rendering (NPR) technique, which converts a 3D model into a more readable 2D representation that is more useful to communicate and simplifies the identification of objects of interest. Regarding public dissemination, we demonstrate how recent advances in virtual reality to provide an accurate, high resolution, amusing and appropriate visualization tool that offers the public the possibility to 'visit' an unreachable archaeological site. Finally, we conclude by introducing the plenoptic approach, a new promising technology that can change the future of the photogrammetry by making it easier and less time consuming and that allows a user to create a 3D model using only one camera shot. Here, we introduce the concepts, the developing process, and some results, which we obtained with underwater imaging.

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“…An ontology describing the photogrammetric process and the measured artifact (ashlar block, observed relevant surface and then the Unit of Stratigraphication (US) and connected concepts) is aligned with the well-known ontology used now since a long time in cultural heritage: International Committee for Documentation, Conceptual Reference Model (CIDOC CRM) [7]. The use of ontologies to manage cultural heritage is increasing every year, opening the door for many interesting perspectives [8][9][10][11]. Significant advances developed in CIDOC CRM [12][13][14] (and now with CIDOC-CRMba, an ontology to encode metadata about the documentation of archaeological buildings [15]) are also very useful for exploring certain theoretical concepts underlying the construction of the Harris matrix.…”

Section: Introductionmentioning

confidence: 99%

Ontology-Based Photogrammetry Survey for Medieval Archaeology: Toward a 3D Geographic Information System (GIS)

et al. 2017

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This paper presents certain reflections concerning an interdisciplinary project between medieval archaeologists from the University of Florence (Italy) and computer science researchers from CNRS, National Center for Scientific Research, (France), aiming towards a connection between 3D spatial representation and archaeological knowledge. We try to develop an integrated system for archaeological 3D survey and all other types of archaeological data and knowledge by incorporating observable (material) and non-graphic (interpretive) data. Survey plays a central role, since it is both a metric representation of the archaeological site and, to a wider extent, an interpretation of it (being also a common basis for communication between the two teams). More specifically, 3D survey is crucial, allowing archaeologists to connect actual spatial assets to the stratigraphic formation processes (i.e., to the archaeological time) and to translate spatial observations into historical interpretation of the site. It is well known that laser scanner, photogrammetry and computer vision are very useful tools for archaeologists, although the integration of the representation of space, as well as archaeological time has not yet found a methodological standard of reference. We propose a common formalism for describing photogrammetric survey and archaeological knowledge stemming from ontologies: indeed, ontologies are fully used to model and store 3D data and archaeological knowledge. We equip this formalism with a qualitative representation of time, starting from archaeological stratigraphy. Stratigraphic analyses (both of excavated deposits and of upstanding structures) are closely related to Edward Cecil Harris's theory of the "Unit of Stratigraphication" (referred to as "US", while a stratigraphic unit of an upstanding structure Unita Stratigrafica Murale, in Italian, will be referred to as "USM"). Every US is connected to the others by geometric, topological and, eventually, temporal links, and these are recorded by the 3D photogrammetric survey. However, the limitations of the Harris matrix approach led us to use another formalism for representing stratigraphic relationships, namely Qualitative Constraints Networks (QCN), which was successfully used in the domain of knowledge representation and reasoning in artificial intelligence for representing temporal relations.

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Supporting Semantic Interoperability in Conservation-Restoration Domain

Cited by 15 publications

References 19 publications

Semantic Bridging of Cultural Heritage Disciplines and Tasks

Semantic Bridging of Cultural Heritage Disciplines and Tasks

Deepwater Archaeological Survey: An Interdisciplinary and Complex Process

Ontology-Based Photogrammetry Survey for Medieval Archaeology: Toward a 3D Geographic Information System (GIS)

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