A Semi-Automated Systems Architecture for Cultural Heritage

Stapleton, Larry; O’Neill, Brenda; Cronin, Kieran; McInerney, Patrick; Hendrick, Matthew; Dalton, Eoin

doi:10.1016/j.ifacol.2019.12.606

Cited by 9 publications

(2 citation statements)

References 3 publications

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“…The HPL has instigated a field-focused collaboration of research and practice; however, tools are still needed for more comprehensive management with effective sustainability and product diversification, such as those focused on landscape planning and heritage integration (Bartolini and DeSilvey, 2020). The Machupicchu research-practice team favours the application of digital heritage diagnostics for heritage conservation, transmission and education, using models that describe both tangible and intangible heritage (Stapleton et al , 2019). In practice, participating research institutions can play a central role in implementing the research agenda.…”

Section: Discussionmentioning

confidence: 99%

A participatory practice-informed research agenda for the historical sanctuary of Machupicchu: first experience in Peru

Zans

Barrera²,

Escalante³

et al. 2023

JCHMSD

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Purpose A research-practice team was convened for the Machupicchu World Heritage Site to participate in the Heritage Place Lab (HPL), with the goal of building a practice-informed research agenda designed to support the management needs of the site.Design/methodology/approach The agenda was built based on both the HPL methodology and a complementary one.Findings The proposed agenda centres on three research priorities: (1) Ecosystem services and well-being, (2) local sustainable development and cultural heritage, and (3) mixed-heritage research integration for conservation.Practical implications These priorities address conflicts between the two agencies that manage the site and a lack of awareness of heritage values in contrast to economic interests.Originality/value The article proposes new research-informed strategies for joint working between the managing agencies of a site where conservation needs conflict with public use demands, representing the first such case for Peru.

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Section: Discussionmentioning

confidence: 99%

A participatory practice-informed research agenda for the historical sanctuary of Machupicchu: first experience in Peru

Zans

Barrera²,

Escalante³

et al. 2023

JCHMSD

View full text Add to dashboard Cite

show abstract

“…The spatial multi-criteria decision problem also involves evaluating a number of locations based on several criteria. Over the last few decades, machine learning methods have been used to optimize decision-making in many other sciences (Santos et al, 2017;Teixeira and Secchi, 2019;Stapleton et al, 2019;Lee et al, 2019;Tahaei et al, 2020;Shi et al, 2021). In this regard, deep learning (DL) as one of the most popular machine learning methods , employ a nonlinear relationships between high-dimensional inputs which indicate to multicollinearity, results better accuracy for estimation (Kazemi Garajeh et al, 2021).…”

mentioning

confidence: 99%

A novel framework for analyzing urban water network events and determining the optimal location of urban drinking water relief posts

Garajeh

2023

Preprint

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Urban water is known as critical sector of urban environments which significantly impacts the life quality and wellbeing of reinstates. In the context of developing sustainable urban drinking system it is critical to analysis network events and develop sufficient systems of water supply. In following this objective, the current study aims to propose an efficient approach for Geospatial based urban water network events analyze and determine the optimal location of urban drinking water relief posts in Zanjan. For this goal, first, we prepared and preprocessed various predisposing variables such as water storage sources, pump stations, traffic density, population density, road network, land use, subscribers, areas with higher water pressure, and accident-prone areas for analyzing the urban water network events and determining the optimal location of urban drinking water relief posts. We then applied an integrated approach of analytical network process (ANP) and deep learning convolutional neural network (DL-CNN) data-driven methods to locate the optimal place of urban drinking water relief posts. Finally, intersection over union and accuracy assessment were employed to evaluate the performance of the results. Our findings show that the DL-CNN performed well with the accuracy of 0.942 than the ANP (0.895) for determining the optimal location of urban drinking water relief posts. The results indicate that the most suitable places for building a relief post are in the center of the city and its surrounding areas might not suitable due to barren lands and sparse population. The results of the study also reveal that areas 5 and 3 are at high risk from the number of urban water network incidents perspective, which require the construction of urban water relief stations.

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Digital cultural heritage standards: from silo to semantic web

O’Neill

Stapleton

2022

AI & Soc

Self Cite

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This paper is a survey of standards being used in the domain of digital cultural heritage with focus on the Metadata Encoding and Transmission Standard (METS) created by the Library of Congress in the United States of America. The process of digitization of cultural heritage requires silo breaking in a number of areas—one area is that of academic disciplines to enable the performance of rich interdisciplinary work. This lays the foundation for the emancipation of the second form of silo which are the silos of knowledge, both traditional and born digital, held in individual institutions, such as galleries, libraries, archives and museums. Disciplinary silo breaking is the key to unlocking these institutional knowledge silos. Interdisciplinary teams, such as developers and librarians, work together to make the data accessible as open data on the “semantic web”. Description logic is the area of mathematics which underpins many ontology building applications today. Creating these ontologies requires a human–machine symbiosis. Currently in the cultural heritage domain, the institutions’ role is that of provider of this open data to the national aggregator which in turn can make the data available to the trans-European aggregator known as Europeana. Current ingests to the aggregators are in the form of machine readable cataloguing metadata which is limited in the richness it provides to disparate object descriptions. METS can provide this richness.

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A Semi-Automated Systems Architecture for Cultural Heritage

Cited by 9 publications

References 3 publications

A participatory practice-informed research agenda for the historical sanctuary of Machupicchu: first experience in Peru

A participatory practice-informed research agenda for the historical sanctuary of Machupicchu: first experience in Peru

A novel framework for analyzing urban water network events and determining the optimal location of urban drinking water relief posts

Digital cultural heritage standards: from silo to semantic web

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