An Ontological Approach for Creating a Brassware Craft Knowledge Base

Isa, Wan Malini Wan; Zin, Nor Azan Mat; Rosdi, Fadhilah; Sarim, Hafiz Mohd; Wook, Tengku Siti Meriam Tengku; Husin, Supyan; Jusoh, Sufian; LawiAli, Syahrol Khairuddin

doi:10.1109/access.2020.3022795

Cited by 9 publications

(2 citation statements)

References 24 publications

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“…Kalita et al 's ontology for traditional dance practices of the Rabha tribe in northeast India [17]. Isa WMW et al 's knowledge base for ICH of copperware category [18]. Isa WMW et al 's knowledge base for ICH of copperware category [19].…”

Section: Related Workmentioning

confidence: 99%

A study on the construction of knowledge graph of Yunjin video resources under productive conservation

Yuan

et al. 2023

Herit Sci

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Nanjing Yunjin, a highly representative Chinese silk weaving handicraft, was included in the Representative List of Intangible Cultural Heritage of Humanity in 2009. However, due to modern silk weaving technology advancements, aesthetic style evolution, and inadequate public recognition of Yunjin culture, the art faces a decline in market recognition and practitioners, posing a risk to its preservation. Addressing this issue necessitates product innovation, efficient knowledge storage, management, and utilization, and enhancing public cultural identity for Yunjin. Following the government’s “productive conservation” concept for intangible cultural heritage (ICH) projects in the handicraft category, this study uses Yunjin video resources as the primary data source. It constructs a domain knowledge graph (DKG) using an ontological approach to effectively and systematically preserve Yunjin knowledge. Furthermore, the study leverages Neo4j network topology to reveal intricate and diverse relationships within Yunjin knowledge, uncovering rich cultural connotations. Lastly, Cypher is employed for semantic queries, graph visualization, and domain expert evaluation. Evaluation results indicate that the constructed Yunjin DKG meets quality standards, supporting the development of products that align with market aesthetics while preserving Yunjin’s intrinsic cultural values. This approach fosters a complementary relationship between economic benefits and ICH. Additionally, the Yunjin DKG application presents a technical path for knowledge interconnection, integration, and discovery within ICH projects in the handicraft category.

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Section: Related Workmentioning

confidence: 99%

A study on the construction of knowledge graph of Yunjin video resources under productive conservation

Yuan

et al. 2023

Herit Sci

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“…Extensions to these models are discussed in [9,10,11,12], wherein Compact Brainstorm Algorithm (CBSO), personal feedback generation using student ontologies, blockchain based time-based protocol (BTBP), and machine learning for art-ontology are de ned. These models showcase different applications which can be used for generation and deployment of blockchains in real-time networks.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of a blockchain-based secure and efficient ontology generation model for multiple data genres using augmented stratification in the healthcare industry

Purbey

Khandelwal

Choudhary³

2023

SIViP

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Ontology generation is a process of relationship analysis, and representation for multiple data categories using automatic or semi-automatic approaches. This process requires a domain knowledgebase that describes given input data using entity-to-entity relations. A wide variety of approaches are proposed for this purpose, and each of them processes & converts input data using multiple relationship evaluation stages. These stages include data-preprocessing, correlation analysis, entity mapping, and ontology generation. A very few of these approaches are dataset independent, and most of them do not implement security measures during ontology generation, which limits their security, scalability & deployment capabilities during real-time implementation. Thus, in this text a blockchain based secure & e cient ontology generation model for multiple data genres using augmented strati cation (BOGMAS) is described. The BOGMAS model uses a semi-supervised approach for ontology generation from almost any structured or unstructured dataset. It uses a variance-based method (VBM) for reduction of redundant numerical features from the dataset, while textual features are converted to numerical values via standard word2vec model, and then processed using VBM. This model uses a combination of linear support vector machine (LSVM), and extra trees (ET) strati ers for variance estimation, which makes the model highly e cient, and reduces redundant features from the output ontology. These feature sets & their variances are given to a correlation engine for relationship estimation, and ontology generation.Each ontology record is secured using a mutable proof-of-work (PoW) based blockchain model, which assists in imbibing transparency, traceability, and distributed peer-to-peer processing capabilities. The generated ontology is represented using an incremental OWL (W3C Web Ontology Language) format, which assists in dynamically sizing the ontology depending upon incoming data. Performance of the proposed BOGMAS model is evaluated in terms of precision & recall of representation, memory usage, computational complexity, and accuracy of attack detection. It is observed that the proposed model is highly e cient in terms of precision, recall & accuracy performance, but has incrementally higher computational complexity & delay of ontology formation when compared with existing approaches. Due to this incremental increase in delay, the proposed model is observed to be applicable for a wide variety of real-time scenarios, which include but are not limited to, medical ontology generation, sports ontology generation, and internet of things (IoT) ontology generation with high security levels.

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Semantic technology for cultural heritage: a bibliometric-based review

Desul,

Mahapatra,

Patra

et al. 2023

GKMC

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Purpose The purpose of this study is to review the application of semantic technologies in cultural heritage (STCH) to achieve interoperability and enable advanced applications like 3D modeling and augmented reality by enhancing the understanding and appreciation of CH. The study aims to identify the trends and patterns in using STCH and provide insights for scholars and policymakers on future research directions. Design/methodology/approach This research paper uses a bibliometric study to analyze the articles published in Scopus and Web of Science (WoS)-indexed journals from 1999 to 2022 on STCH. A total of 580 articles were analyzed using the Biblioshiny package in RStudio. Findings The study reveals a substantial increase in STCH publications since 2008, with Italy leading in contributions. Key research areas such as ontologies, semantic Web, linked data and digital humanities are extensively explored, highlighting their significance and characteristics within the STCH research domain. Research limitations/implications This study only analyzed articles published in Scopus and WoS-indexed journals in the English language. Further research could include articles published in other languages and non-indexed journals. Originality/value This study extensively analyses the research published on STCH over the past 23 years, identifying the leading authors, institutions, countries and top research topics. The findings provide guidelines for future research direction and contribute to the literature on promoting, preserving and managing the CH globally.

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An Ontological Approach for Creating a Brassware Craft Knowledge Base

Cited by 9 publications

References 24 publications

A study on the construction of knowledge graph of Yunjin video resources under productive conservation

A study on the construction of knowledge graph of Yunjin video resources under productive conservation

Design of a blockchain-based secure and efficient ontology generation model for multiple data genres using augmented stratification in the healthcare industry

Semantic technology for cultural heritage: a bibliometric-based review

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