Integration of Domain-Specific Metadata Schema for Cultural Heritage Resources to DSpace: A Prototype Design

2020 ◽  
Vol 20 (2-3) ◽  
pp. 155-178
Author(s):  
Sinjini Mukherjee ◽  
Rajesh Das
Keyword(s):  
Cultural Heritage ◽  
Domain Specific ◽  
Metadata Schema ◽  
Prototype Design

scholarly journals Pattern-based design applied to cultural heritage knowledge graphs

Semantic Web ◽  
2020 ◽  
pp. 1-45
Author(s):  
Valentina Anita Carriero ◽  
Aldo Gangemi ◽  
Maria Letizia Mancinelli ◽  
Andrea Giovanni Nuzzolese ◽  
Valentina Presutti ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Design Patterns ◽  
Lessons Learned ◽  
Knowledge Graph ◽  
Unit Testing ◽  
Domain Specific ◽  
Rigorous Testing ◽  
Ontology Design ◽  
Domain Specific Knowledge ◽  
Knowledge Graphs

Ontology Design Patterns (ODPs) have become an established and recognised practice for guaranteeing good quality ontology engineering. There are several ODP repositories where ODPs are shared as well as ontology design methodologies recommending their reuse. Performing rigorous testing is recommended as well for supporting ontology maintenance and validating the resulting resource against its motivating requirements. Nevertheless, it is less than straightforward to find guidelines on how to apply such methodologies for developing domain-specific knowledge graphs. ArCo is the knowledge graph of Italian Cultural Heritage and has been developed by using eXtreme Design (XD), an ODP- and test-driven methodology. During its development, XD has been adapted to the need of the CH domain e.g. gathering requirements from an open, diverse community of consumers, a new ODP has been defined and many have been specialised to address specific CH requirements. This paper presents ArCo and describes how to apply XD to the development and validation of a CH knowledge graph, also detailing the (intellectual) process implemented for matching the encountered modelling problems to ODPs. Relevant contributions also include a novel web tool for supporting unit-testing of knowledge graphs, a rigorous evaluation of ArCo, and a discussion of methodological lessons learned during ArCo’s development.

scholarly journals ONTOLOGY-BASED WEB TOOLS FOR RETRIEVING PHOTOGRAMMETRIC CULTURAL HERITAGE MODELS

2019 ◽  
Vol XLII-2/W10 ◽  
pp. 31-38 ◽  
Author(s):  
M. Ben Ellefi ◽  
P. Drap ◽  
O. Papini ◽  
D. Merad ◽  
J. P. Royer ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Knowledge Based ◽  
Web Tools ◽  
Domain Specific Knowledge ◽  
Visualization Systems ◽  
User Friendly ◽  
Machine Readable ◽  
Associated Knowledge

<p><strong>Abstract.</strong> 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 <i>Xlendi</i> 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.</p>

HerCulB: content-based information extraction and retrieval for cultural heritage of the Balkans

2020 ◽  
Vol 38 (5/6) ◽  
pp. 905-918
Author(s):  
Ivana Tanasijević ◽  
Gordana Pavlović-Lažetić
Keyword(s):  
Cultural Heritage ◽  
Language Processing ◽  
Digital Libraries ◽  
Intangible Cultural Heritage ◽  
Automatic Annotation ◽  
Content Type ◽  
The Balkans ◽  
Named Entity ◽  
Domain Specific ◽  
Rule Based Approach

Purpose The purpose of this paper is to provide a methodology for automatic annotation of a multimedia collection of intangible cultural heritage mostly in the form of interviews. Assigned annotations provide a way to search the collection. Design/methodology/approach Annotation is based on automatic extraction of metadata and is conducted by named entity and topic extraction from textual descriptions with a rule-based approach supported by vocabulary resources, a compiled domain-specific classification scheme and domain-oriented corpus analysis. Findings The proposed methodology for automatic annotation of a collection of intangible cultural heritage, applied on the cultural heritage of the Balkans, has very good results according to F measure, which is 0.87 for the named entity and 0.90 for topic annotation. The overall methodology enables encapsulating domain-specific and language-specific knowledge into collections of finite state transducers and allows further improvements. Originality/value Although cultural heritage has a significant role in the development of identity of a group or an individual, it is one of those specific domains that have not yet been fully explored in case of many languages. A methodology is proposed that can be used for incorporating natural language processing techniques into digital libraries of cultural heritage.

scholarly journals Accurator: Nichesourcing for Cultural Heritage

2019 ◽  
Vol 6 ◽  
pp. 12-41
Author(s):  
Chris Dijkshoorn ◽  
Victor De Boer ◽  
Lora Aroyo ◽  
Guus Schreiber
Keyword(s):  
Cultural Heritage ◽  
Case Studies ◽  
Expert Knowledge ◽  
Image Annotation ◽  
User Evaluation ◽  
Annotation Tool ◽  
Specific Knowledge ◽  
Web Based ◽  
Domain Specific ◽  
Domain Specific Knowledge

With the increase of cultural heritage data published online, the usefulness of data in this open context hinges on the quality and diversity of descriptions of collection objects. In many cases, existing descriptions are not sufficient for retrieval and research tasks, resulting in the need for more specific annotations. However, eliciting such annotations is a challenge since it often requires domain-specific knowledge. Where crowdsourcing can be successfully used to execute simple annotation tasks, identifying people with the required expertise might prove troublesome for more complex and domain-specific tasks. Nichesourcing addresses this problem, by tapping into the expert knowledge available in niche communities. This paper presents Accurator, a methodology for conducting nichesourcing campaigns for cultural heritage institutions, by addressing communities, organizing events and tailoring a web-based annotation tool to a domain of choice. The contribution of this paper is fourfold: 1) a nichesourcing methodology, 2) an annotation tool for experts, 3) validation of the methodology in three case studies and 4) a dataset including the obtained annotations. The three domains of the case studies are birds on art, bible prints and fashion images. We compare the quality and quantity of obtained annotations in the three case studies, showing that the nichesourcing methodology in combination with the image annotation tool can be used to collect high-quality annotations in a variety of domains. A user evaluation indicates the tool is suited and usable for domain-specific annotation tasks.

From mud to the museum: Metadata challenges in archaeology

2017 ◽  
Vol 44 (5) ◽  
pp. 658-670 ◽  
Author(s):  
Maureen Henninger
Keyword(s):  
Cultural Heritage ◽  
Language Processing ◽  
Reference Model ◽  
Open Data ◽  
Archaeological Site ◽  
Ontology Mapping ◽  
Documentary Evidence ◽  
Domain Specific ◽  
Small Finds

An archaeological site is a palimpsest in which the evidence of the depositional episodes is destroyed through the excavation processes; all that remains are the artefacts and their documentary evidence manifested in registers, datasets, dig diaries and reports. While the reports may represent the end product of a specific excavation, the archaeological record tells a story; it is interpretative and dynamic, with later excavations adding new knowledge and narratives. Museums preserve the artefacts but unless the documentary evidence is preserved in standard formats, it cannot be easily re-used by the archaeology community to create that knowledge; nor can museums provide the narratives for the general public whose cultural heritage it is. This article presents a case study from the Ness of Brodgar excavations that examines possibilities for reconciling one part of the data of an archaeological dig, the small finds register (SFR) and its sparse amount of descriptive metadata, with the potentiality of data re-use and with the requirements of a museum that may have custody of the artefacts. It maps and enriches messy domain-specific ontologies to standard archaeological and cultural heritage ontologies and taxonomies using simple natural language processing, linked open data and the museum CIDOC conceptual reference model (CRM). This research, in examining the application of ontology mapping tools, explores common practices and processes that are useful in any discipline within the cultural heritage domain.

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