Systems integration of heterogeneous cultural heritage information systems in museums: a case study of the National Palace Museum

Wu, Shaochun

doi:10.1007/s00799-015-0154-2

Cited by 7 publications

(3 citation statements)

References 11 publications

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“…The work in [57] introduces a virtual informal education system for the well-known ancient illustration of "Qing-ming Festival by the Riverside", by using VR technology to generate a wide, captivating, and responsive virtual environment. The work in [58] elaborates on the installation and integration of information systems in museums, identifying four success factors for relevant projects, while stressing the fundamental differences between museums and commercial companies. The approach in [59] describes the formulation and the adaptation of an AR-based system tailored for museum supervision; this research aims to narrow the gap between man and machine by applying instinctive as well as user-friendly synergies in an omnipresent computing environment.…”

Section: Information Systems For Museumsmentioning

confidence: 99%

Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain

Deligiannis

Raftopoulou

Tryfonopoulos

et al. 2020

BDCC

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Advancements in cultural informatics have significantly influenced the way we perceive, analyze, communicate and understand culture. New data sources, such as social media, digitized cultural content, and Internet of Things (IoT) devices, have allowed us to enrich and customize the cultural experience, but at the same time have created an avalanche of new data that needs to be stored and appropriately managed in order to be of value. Although data management plays a central role in driving forward the cultural heritage domain, the solutions applied so far are fragmented, physically distributed, require specialized IT knowledge to deploy, and entail significant IT experience to operate even for trivial tasks. In this work, we present Hydria, an online data lake that allows users without any IT background to harvest, store, organize, analyze and share heterogeneous, multi-faceted cultural heritage data. Hydria provides a zero-administration, zero-cost, integrated framework that enables researchers, museum curators and other stakeholders within the cultural heritage domain to easily (i) deploy data acquisition services (like social media scrapers, focused web crawlers, dataset imports, questionnaire forms), (ii) design and manage versatile customizable data stores, (iii) share whole datasets or horizontal/vertical data shards with other stakeholders, (iv) search, filter and analyze data via an expressive yet simple-to-use graphical query engine and visualization tools, and (v) perform user management and access control operations on the stored data. To the best of our knowledge, this is the first solution in the literature that focuses on collecting, managing, analyzing, and sharing diverse, multi-faceted data in the cultural heritage domain and targets users without an IT background.

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Section: Information Systems For Museumsmentioning

confidence: 99%

Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain

Deligiannis

Raftopoulou

Tryfonopoulos

et al. 2020

BDCC

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“…[24] used metadata schemas and controlled vocabularies to collect and complete cultural heritage information, and the methodology ensured the processes of metadata schema selection and good end-user access. A recent study [25] presented systems integration for information collection and analysis of heterogeneous cultural heritage data in museums. They used a case study to explain the way in which to integrate existing information systems to improve museums operational performance in a climate of growing competition and increasing complexity.…”

Section: Related Workmentioning

confidence: 99%

Enhancing cultural heritage data through selective crowdsourcing

Olivieri

Shabani

Liu

et al. 2017

2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS)

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Crowdsourcing, or asking for general participation to help contribute to shared goals, has become popular in the cultural heritage domain. However, it also brings new challenges to data quality management. In this paper, we describe a novel approach that used selective crowdsourcing to increase quality control and the number of participants when collecting cultural heritage-related data. We tested our approach in scenarios using a mobile application for cultural heritage travellers. The results showed that the selective crowdsourcing approach can be applied well to complete information and resolve conflict in cultural heritage data.

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“…Its role directly affects the construction of management information systems and the exchange and sharing of educational management information at all levels of education administrative departments and schools at all levels. 9 Information silos lead to the existence of multiple heterogeneous data sources within the university. The data of each department is inconsistent with each other.…”

Section: Introductionmentioning

confidence: 99%

Research on the integration of heterogeneous information resources in university management informatization based on data mining algorithms

Zhang

Fang

2020

Computational Intelligence

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Systems integration of heterogeneous cultural heritage information systems in museums: a case study of the National Palace Museum

Cited by 7 publications

References 11 publications

Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain

Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain

Enhancing cultural heritage data through selective crowdsourcing

Research on the integration of heterogeneous information resources in university management informatization based on data mining algorithms

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