Interactive AR Installation: Lessons Learned in the Field of Art, Design and Cultural Heritage

Ontology Design Patterns (ODPs) have become an established and recognised practice for guaranteeing good quality ontology engineering. There are several ODP repositories where ODPs are shared as well as ontology design methodologies recommending their reuse. Performing rigorous testing is recommended as well for supporting ontology maintenance and validating the resulting resource against its motivating requirements. Nevertheless, it is less than straightforward to find guidelines on how to apply such methodologies for developing domain-specific knowledge graphs. ArCo is the knowledge graph of Italian Cultural Heritage and has been developed by using eXtreme Design (XD), an ODP- and test-driven methodology. During its development, XD has been adapted to the need of the CH domain e.g. gathering requirements from an open, diverse community of consumers, a new ODP has been defined and many have been specialised to address specific CH requirements. This paper presents ArCo and describes how to apply XD to the development and validation of a CH knowledge graph, also detailing the (intellectual) process implemented for matching the encountered modelling problems to ODPs. Relevant contributions also include a novel web tool for supporting unit-testing of knowledge graphs, a rigorous evaluation of ArCo, and a discussion of methodological lessons learned during ArCo’s development.

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Augmented Reality for Art, Design and Cultural Heritage—System Design and Evaluation

EURASIP Journal on Image and Video Processing ◽

10.1155/2009/716160 ◽

2009 ◽

Vol 2009 ◽

pp. 1-16 ◽

Cited By ~ 22

Author(s):

Jurjen Caarls ◽

Pieter Jonker ◽

Yolande Kolstee ◽

Joachim Rotteveel ◽

Wim van Eck

Keyword(s):

Augmented Reality ◽

Cultural Heritage ◽

System Design ◽

Art Design ◽

System Design And Evaluation

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Personal Digital Collections

Handbook of Research on Technologies and Cultural Heritage ◽

10.4018/978-1-60960-044-0.ch014 ◽

2011 ◽

pp. 285-304 ◽

Cited By ~ 1

Author(s):

Paul F. Marty ◽

Scott Sayre ◽

Silvia Filippini Fantoni

Keyword(s):

Cultural Heritage ◽

System Design ◽

Lessons Learned ◽

Future Research ◽

Digital Collections ◽

Research Directions ◽

Digital Collection ◽

Future Research Directions ◽

Museum Websites ◽

The Relationship

Personal digital collections systems, which encourage visitors to museum websites to create their own personal collections out of a museum’s online collections, are the latest trend in personalization technologies for museums and other cultural heritage organizations. This chapter explores the development, implementation, and evaluation of different types of personal digital collection interfaces on museum websites, from simple bookmarking applications to sophisticated tools that support high levels of interactivity and the sharing of collections. It examines the potential impact of these interfaces on the relationship between museums and their online visitors, explores the possible benefits of involving users as co-creators of digital cultural heritage, and offers an analysis of future research directions and best practices for system design, presenting lessons learned from more than a decade of design and development of personal digital collections systems on museum websites.

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Realistic Virtual Humans for Cultural Heritage Applications

Heritage ◽

10.3390/heritage4040228 ◽

2021 ◽

Vol 4 (4) ◽

pp. 4148-4171

Author(s):

Effie Karuzaki ◽

Nikolaos Partarakis ◽

Nikolaos Patsiouras ◽

Emmanouil Zidianakis ◽

Antonios Katzourakis ◽

...

Keyword(s):

Cultural Heritage ◽

Formative Evaluation ◽

Research Work ◽

Lessons Learned ◽

Fine Tuning ◽

3D Animation ◽

Virtual Humans ◽

Initial Hypothesis ◽

Affective Components ◽

Face Morphing

Virtual Humans are becoming a commodity in computing technology and lately have been utilized in the context of interactive presentations in Virtual Cultural Heritage environments and exhibitions. To this end, this research work underlines the importance of aligning and fine-tuning Virtual Humans’ appearance to their roles and highlights the importance of affective components. Building realistic Virtual Humans was traditionally a great challenge requiring a professional motion capturing studio and heavy resources in 3D animation and design. In this paper, a workflow for their implementation is presented, based on current technological trends in wearable mocap systems and advancements in software technology for their implementation, animation, and visualization. The workflow starts from motion recording and segmentation to avatar implementation, retargeting, animation, lip synchronization, face morphing, and integration to a virtual or physical environment. The testing of the workflow occurs in a use case for the Mastic Museum of Chios and the implementation is validated both in a 3D virtual environment accessed through Virtual Reality and on-site at the museum through an Augmented Reality application. The findings, support the initial hypothesis through a formative evaluation, and lessons learned are transformed into a set of guidelines to support the replication of this work.

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Big Data: Ideology vs. Enlightenment

International Journal of Computer Auditing ◽

10.53106/256299802019120101002 ◽

2019 ◽

Vol 1 (1) ◽

pp. 004-025

Author(s):

Hartmut Will Hartmut Will

Keyword(s):

Information Technology ◽

Big Data ◽

Cultural Heritage ◽

Lessons Learned ◽

Social Benefits ◽

Data Governance ◽

Modern Information Technology ◽

Epistemological Foundation ◽

Public Data ◽

Modern Information

“Big Data” is a technological term with a seemingly cognitive connotation that masks an ideological orientation of those attempting to be benevolently, criminally of even “innocently” in control of our knowledge and subsequent actions. Without an epistemological foundation “small” and especially “big” data are a myth. When “the truth” becomes “what’s on a digital screen” under the control of those in charge of “the cloud” we are clouding our cultural heritage voluntarily to an extent that exposes us to the whims of those screening and displaying our data even in so-called “post-truth” fashion. Subsequent information and knowledge cannot be critically and rationally assessed for lack of evidence. All lessons learned during the last four centuries of enlightening efforts seem to be forgotten or ignored by us. Our preference for “cognitive ease” can be easily abused by those in control of modern information technology. We remain in “self-imposed immaturity” (Kant) while they can act primarily for their own economic, political, and social benefits and may even feel “justified” by the big-data-ideology. Knowledge must remain relevant to, testable and rationally believable by the legitimate recipients of any public data and information. An enlightened framework for data governance is overdue in the “digital big data age!”

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KEYNOTE: USING THE GETTY VOCABULARIES TO CONNECT RESOURCES IN A LINKED AND OPEN WORLD: GROWING POTENTIAL THROUGH CONTRIBUTIONS

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-2-w11-3-2019 ◽

2019 ◽

Vol XLII-2/W11 ◽

pp. 3-4

Author(s):

J. Cobb

Keyword(s):

Los Angeles ◽

Cultural Heritage ◽

Visual Arts ◽

Best Practice ◽

Open Data ◽

Lessons Learned ◽

Open World ◽

Wide Range ◽

Other Information ◽

Research Institute

Abstract. The J. Paul Getty Trust is a cultural and philanthropic institution dedicated to the presentation, conservation, and interpretation of the world’s artistic legacy.Through the collective and individual work of its constituent programs – the Getty Conservation Institute, the Getty Foundation, the J Paul Getty Museum, and the Getty Research Institute – the Getty pursues its mission in Los Angeles and throughout the world, serving both the general interested public and a wide range of professional communities in order to promote a vital civil society through an understanding of the visual arts.The Getty Research Institute is dedicated to furthering knowledge and advancing understanding of the visual arts and their various histories through its expertise, active collecting program, public programs, institutional collaborations, exhibitions, publications, digital services, and residential scholars programs. Its Research Library and Special Collections of rare materials and digital resources serve an international community of scholars and the interested public.The Institute's activities and scholarly resources guide and sustain each other and together provide a unique environment for research, critical inquiry, and scholarly exchange.The Getty Vocabularies have been produced and maintained for decades by the Getty Vocabulary Program, which is part of the Getty Research Institute (GRI).They are compliant with ISO and NICO standards for multilingual thesaurus construction and contain terminology and other information about people, places, objects, and art-historical and conservation concepts.They are compiled resources and grow through contributions from various Getty projects and from many external institutions.Although there are now five vocabularies, this talk will concentrate on the three that have been released as Linked Open Data.They are the Art &amp; Architecture Thesaurus (AAT)®, the Union List of Artist Names (ULAN)&reg;, and the Getty Thesaurus of Geographic Names (TGN)&reg;. These three vocabularies were the first to be released because they are used universally in the cultural heritage and library communities and represent best practice.The presentation will show examples of how AAT, TGN and ULAN are used and to highlight reasons why they have become such valuable resources. It will provide an overview of some of the major challenges and lessons learned since the vocabularies were made available as LOD. Topics will range from reconciling external resources with the Getty vocabularies to strategies for cultural heritage organizations to contribute new concepts and terminology and the need to easily and quickly provide contributors with the information they need to insert the link into their collection management systems.The goal is not only to work with the community to help everyone make the best use of the LOD datasets, but to make sure the datasets themselves continue to grow through contributions.

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