research-article

A semantically annotated JSON metadata structure for open linked cultural data in Neo4j

Authors:

Georgios Drakopoulos,

Evaggelos Spyrou,

Yorghos Voutos,

Phivos MylonasAuthors Info & Claims

PCI '19: Proceedings of the 23rd Pan-Hellenic Conference on Informatics

Pages 81 - 88

https://doi.org/10.1145/3368640.3368659

Published: 28 November 2019 Publication History

Abstract

Digital culture is a mainstay of the emerging 6V era as both the digitization of existing cultural data and the creation of original native digital cultural content directly lead to the generation of large data volumes which may well be bursty, unstructured or semi-structured, and inherently multimodal. One way to address the increased complexity associated with 6V data is to create metadata structures which succinctly summarize a segment of the underlying cultural data, add semantic information, and serve as indexing and clustering points. This conference paper proposes a JSON description for cultural items which is tailored to the needs of the digital culture domain, generic enough to summarize the vast majority of cultural items, and flexible enough to be extended should the need arise. Moreover, it supports by construction multilevel clustering, semantic annotations, and links to and from relevant cultural items. As a concrete example, the proposed description has been imported to an instance of a Neo4j graph database. The latter takes full advantage of the capabilities offered by the proposed JSON metadata structure, especially the dynamic directed linking between similar cultural items. The abovementioned Neo4j is populated with cultural items from the Ionian Islands, a Greek region with rich cultural tradition.

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Cited By

Drakopoulos GMylonas P(2023)Higher Order Probabilistic Analysis of Network Trajectories of Intelligent Agents in Thespian2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)10.1109/SEEDA-CECNSM61561.2023.10470503(1-7)Online publication date: 10-Nov-2023
https://doi.org/10.1109/SEEDA-CECNSM61561.2023.10470503
Karras AKarras CDrakopoulos GTsolis DMylonas PSioutas S(2022)SAF: A Peer to Peer IoT LoRa System for Smart Supply Chain in AgricultureArtificial Intelligence Applications and Innovations10.1007/978-3-031-08337-2_4(41-50)Online publication date: 10-Jun-2022
https://doi.org/10.1007/978-3-031-08337-2_4
Voutos YDrakopoulos GMylonas P(2020)Metadata-enriched Discovery Of Aspect Similarities Between Cultural Objects2020 15th International Workshop on Semantic and Social Media Adaptation and Personalization (SMA10.1109/SMAP49528.2020.9248447(1-6)Online publication date: 29-Oct-2020
https://doi.org/10.1109/SMAP49528.2020.9248447
Show More Cited By

Index Terms

A semantically annotated JSON metadata structure for open linked cultural data in Neo4j
1. Applied computing
  1. Arts and humanities
  2. Document management and text processing
    1. Document searching
2. Information systems
  1. Information retrieval
    1. Document representation
      1. Document topic models
      2. Ontologies
  2. Information storage systems
    1. Storage management
      1. Version management

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Information

Published In

cover image ACM Other conferences

PCI '19: Proceedings of the 23rd Pan-Hellenic Conference on Informatics

November 2019

165 pages

ISBN:9781450372923

DOI:10.1145/3368640

General Chairs:
Yannis Manolopoulos
Open University Cyprus, Cyprus
,
George Angelos Papadopoulos
University of Cyprus, Cyprus
,
Athena Stassopoulou
University of Nicosia, Cyprus
,
Program Chairs:
Ioanna Dionysiou
University of Nicosia, Cyprus
,
Ioannis Kyriakides
University of Nicosia, Cyprus
,
Nicolas Tsapatsoulis
Cyprus University of Technology, Cyprus

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2019

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PCI '19

PCI '19: 23rd Pan-Hellenic Conference on Informatics

November 28 - 30, 2019

Nicosia, Cyprus

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PCI '19 Paper Acceptance Rate 18 of 35 submissions, 51%;

Overall Acceptance Rate 190 of 390 submissions, 49%

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Cited By

Drakopoulos GMylonas P(2023)Higher Order Probabilistic Analysis of Network Trajectories of Intelligent Agents in Thespian2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)10.1109/SEEDA-CECNSM61561.2023.10470503(1-7)Online publication date: 10-Nov-2023
https://doi.org/10.1109/SEEDA-CECNSM61561.2023.10470503
Karras AKarras CDrakopoulos GTsolis DMylonas PSioutas S(2022)SAF: A Peer to Peer IoT LoRa System for Smart Supply Chain in AgricultureArtificial Intelligence Applications and Innovations10.1007/978-3-031-08337-2_4(41-50)Online publication date: 10-Jun-2022
https://doi.org/10.1007/978-3-031-08337-2_4
Voutos YDrakopoulos GMylonas P(2020)Metadata-enriched Discovery Of Aspect Similarities Between Cultural Objects2020 15th International Workshop on Semantic and Social Media Adaptation and Personalization (SMA10.1109/SMAP49528.2020.9248447(1-6)Online publication date: 29-Oct-2020
https://doi.org/10.1109/SMAP49528.2020.9248447
Drakopoulos GVoutos YMylonas P(2020)Recent Advances On Ontology Similarity Metrics: A Survey2020 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)10.1109/SEEDA-CECNSM49515.2020.9221837(1-7)Online publication date: Sep-2020
https://doi.org/10.1109/SEEDA-CECNSM49515.2020.9221837

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