The SeaLiT Ontology – An Extension of CIDOC-CRM for the Modeling and Integration of Maritime History Information

Fafalios, Pavlos; Kritsotaki, Athina; Doerr, Martin

doi:10.1145/3586080

Cited by 3 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The adoption and parameterisation of the four ontologies used in MELTOPENLAB, were tested in a practical context to assess their functionalities, interoperability, and utilisation by museum staff involved in exhibit documentation and presentation. An approach has been proposed to assess the potential sustainability of the adopted ontologies [10,11,48]. However, two crucial aspects have been raised and should be considered by museum administrators.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A Holistic Approach for Enhancing Museum Performance and Visitor Experience

Philippopoulos,

Drivas,

Tselikas

et al. 2024

Sensors

View full text Add to dashboard Cite

Managing modern museum content and visitor data analytics to achieve higher levels of visitor experience and overall museum performance is a complex and multidimensional issue involving several scientific aspects, such as exhibits’ metadata management, visitor movement tracking and modelling, location/context-aware content provision, etc. In related prior research, most of the efforts have focused individually on some of these aspects and do not provide holistic approaches enhancing both museum performance and visitor experience. This paper proposes an integrated conceptualisation for improving these two aspects, involving four technological components. First, the adoption and parameterisation of four ontologies for the digital documentation and presentation of exhibits and their conservation methods, spatial management, and evaluation. Second, a tool for capturing visitor movement in near real-time, both anonymously (default) and eponymously (upon visitor consent). Third, a mobile application delivers personalised content to eponymous visitors based on static (e.g., demographic) and dynamic (e.g., visitor movement) data. Lastly, a platform assists museum administrators in managing visitor statistics and evaluating exhibits, collections, and routes based on visitors’ behaviour and interactions. Preliminary results from a pilot implementation of this holistic approach in a multi-space high-traffic museum (MELTOPENLAB project) indicate that a cost-efficient, fully functional solution is feasible, and achieving an optimal trade-off between technical performance and cost efficiency is possible for museum administrators seeking unfragmented approaches that add value to their cultural heritage organisations.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Descriptive Metadata Schemas: The work of Fafalios and colleagues [10] presents the SeaLiT metadata schema to describe maritime history information. The authors propose a holistic approach for adopting specific CIDOC-CRM elements to describe artefacts, their semantic relations, and their visualisation through knowledge graphs.…”

Section: The Meltopenlab Systemmentioning

confidence: 99%

A Holistic Approach for Enhancing Museum Performance and Visitor Experience

Philippopoulos,

Drivas,

Tselikas

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

Multimodal knowledge graph construction of Chinese traditional operas and sentiment and genre recognition

Fan

Wang

Hodel

2023

Journal of Cultural Heritage

View full text Add to dashboard Cite

Knowledge graph representation method for semantic 3D modeling of Chinese grottoes

Yang,

Hou

2023

Herit Sci

View full text Add to dashboard Cite

The integration of 3D geometric models with semantic information significantly improves the applicability and comprehensibility of cultural heritage. The semantic 3D modeling of Chinese grottoes poses challenges for individuals without expertise in cultural heritage due to gaps in domain knowledge and discrepancies in understanding. However, the existing domain ontology and knowledge graph provide an insufficient representation of the knowledge of Chinese grottoes. To overcome these obstacles, we propose a knowledge graph representation method to provide explicit knowledge for participants at different stages of semantic 3D modeling of Chinese grottoes, which includes schema layer construction and data layer construction. On the schema layer, we design a domain ontology named ChgOnto (Chinese Grottoes Ontology) that consists of four high-level concept classes: spatial object, informational object, digital device, and temporal object. Among the classes in the ChgOnto, the components (e.g., cliff wall, cave roof, cliff wall footing), elements (e.g., primary Buddha statue, pedestal, decoration), the properties (e.g., length, width, depth) of caves and niches in Chinese grottoes as well as the spatial relationships between them are all precisely defined. ChgOnto also reuse the classes from the renowned CIDOC CRM ontology in the cultural heritage field and GeoSPARQL in the geospatial domain, facilitating integration between the two subjects. Considering the schema layer as the conceptual data model, the data layer extracts knowledge from unstructured text through natural language processing tools to instantiate the abstract classes and fill the properties of the schema layer. Finally, the knowledge required for semantic 3D modeling of Chinese grottoes is expressed in the data layer by a knowledge graph in a fixed expression form. Dazu Rock Carvings, a World Heritage site in China, is selected as a case study to validate the practicality and effectiveness of the proposed method. The results reveal that our method offers a robust knowledge-sharing platform for the semantic 3D modeling of Chinese grottoes and demonstrates excellent scalability. The method proposed in this paper can also serve as an informative reference for other types of cultural heritage.

show abstract

The SeaLiT Ontology – An Extension of CIDOC-CRM for the Modeling and Integration of Maritime History Information

Cited by 3 publications

References 16 publications

A Holistic Approach for Enhancing Museum Performance and Visitor Experience

A Holistic Approach for Enhancing Museum Performance and Visitor Experience

Multimodal knowledge graph construction of Chinese traditional operas and sentiment and genre recognition

Knowledge graph representation method for semantic 3D modeling of Chinese grottoes

Contact Info

Product

Resources

About