An Ontology and Knowledge Graph Infrastructure for Digital Library Knowledge Representation

Ferilli, Stefano; Redavid, Domenico

doi:10.1007/978-3-030-39905-4_6

Cited by 8 publications

(3 citation statements)

References 6 publications

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“…Combining ontologies with knowledge graphs is a reliable method of recognizing the complicated relationships between entities. General domain ontologies can act as a hub to allow the interconnection of specific information among different domains [39]. The previous research was focused on the approaches for ontology modelling in the knowledge graph environment, including logic-based models, structural-based models and hybrid models.…”

Section: A Ontology Modelling In Knowledge Graphsmentioning

confidence: 99%

A Bibliometric Analysis of Recent Developments and Trends in Knowledge Graph Research (2013–2022)

Wang,

2024

IEEE Access

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Knowledge graph has emerged as a useful resource and tool for representing real-world entities and their relations, which gained increasing importance in the fields of deep learning and machine learning. This research aims to investigate the academic publications of knowledge graphs between 2013 and 2022 based on the core collection of the Web of Science and examine hot topics and the latest developments in this subject. Thus, the present research adopted a bibliometric analysis to explore the indicators, which mainly focus on different variables from the diachronic productivity of scientific publications to the most prolific countries and the leading publication journals. By means of VOSviewer software, the most productive authors and the frequency of author keywords were further analyzed. The results manifest that dramatic growth has been identified in the past five years due to the output of publications regarding this subject, and the frequently explored themes were mainly conducted from six dimensions, focusing on ontology modelling, knowledge extraction, knowledge graph embedding, graphbased knowledge representation, multi-modal knowledge graphs and knowledge-aware applications. The findings could help researchers to gain a thorough outlook of knowledge graph research, optimize research topic choices, and detect new directions for future studies.INDEX TERMS Bibliometric analysis, knowledge graphs, VOSviewer.

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Section: A Ontology Modelling In Knowledge Graphsmentioning

confidence: 99%

A Bibliometric Analysis of Recent Developments and Trends in Knowledge Graph Research (2013–2022)

Wang,

2024

IEEE Access

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“…In particular, the records existing in a distributed digital archive can be expressed as objects that can be identified on the web, so that different records can be linked at a semantic level. 9 This study proposes a method to interlink and search digital records of the digital archives of Japanese military "comfort women." For describing and linking distributed digital records, a set of metadata elements was proposed, and a knowledge model was defined by examining the common metadata model and the existing RDF vocabulary.…”

Section: Introductionmentioning

confidence: 99%

Japanese Military “Comfort Women” Knowledge Graph

Park¹,

Kim²

2023

ITAL

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Materials related to Japanese military “comfort women” in Korea are managed by several institutions. Each digital archive has their own metadata schema and management policies. So far, a standard or a common guideline for describing digital records is not formalized. We propose a Japanese military “comfort women” knowledge graph to semantically interlink the digital records from distributed digital archives. To build a Japanese military “comfort women” knowledge graph, digital records and descriptive metadata were collected from existing digital archives. A list of metadata was defined by analyzing commonly used properties and a knowledge model designed by reusing standard vocabularies. Knowledge was constructed by interlinking the collected records, external data sources, and enriching data. The knowledge graph was evaluated using the FAIR data maturity model.

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“…It currently includes schemas describing the inter-related domains of 'tourism' (concerning history, cultural heritage items, points of interest, logistics and services, etc. ), 'food' (concerning typical dishes and beverages from specific regions), 'computing' (concerning computing devices and their history) [8] and 'lam' (concerning libraries, archives and museums) [9].…”

Section: Introductionmentioning

confidence: 99%

Integration Strategy and Tool between Formal Ontology and Graph Database Technology

Ferilli

2021

Electronics

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Ontologies, and especially formal ones, have traditionally been investigated as a means to formalize an application domain so as to carry out automated reasoning on it. The union of the terminological part of an ontology and the corresponding assertional part is known as a Knowledge Graph. On the other hand, database technology has often focused on the optimal organization of data so as to boost efficiency in their storage, management and retrieval. Graph databases are a recent technology specifically focusing on element-driven data browsing rather than on batch processing. While the complementarity and connections between these technologies are patent and intuitive, little exists to bring them to full integration and cooperation. This paper aims at bridging this gap, by proposing an intermediate format that can be easily mapped onto the formal ontology on one hand, so as to allow complex reasoning, and onto the graph database on the other, so as to benefit from efficient data handling.

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An Ontology and Knowledge Graph Infrastructure for Digital Library Knowledge Representation

Cited by 8 publications

References 6 publications

A Bibliometric Analysis of Recent Developments and Trends in Knowledge Graph Research (2013–2022)

A Bibliometric Analysis of Recent Developments and Trends in Knowledge Graph Research (2013–2022)

Japanese Military “Comfort Women” Knowledge Graph

Integration Strategy and Tool between Formal Ontology and Graph Database Technology

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