The ABC ontology and model

This paper describes the latest version of the ABC metadata model. This model has been developed within the Harmony international digital library project to provide a common conceptual model to facilitate interoperability between metadata vocabularies from different domains. This updated ABC model is the result of collaboration with the CIMI consortium whereby earlier versions of the ABC model were applied to metadata descriptions of complex objects provided by CIMI museums and libraries. The result is a metadata model with more logically grounded time and entity semantics. Based on this model we have been able to build a metadata repository of RDF descriptions and a search interface which is capable of more sophisticated queries than less-expressive, object-centric metadata models will allow

ICTs for Accessing, Understanding and Safeguarding Cultural Heritage: The Experience of INCEPTION and ROCK H2020 Projects

Today digital technologies offer great opportunities in the field of Cultural Heritage (CH). After a general overview of the European policy documents on CH digitisation, the paper aims to reflect on tools, procedures and methodologies in the use of Information and Communication Technologies (ICTs) as a new way of visualization, application and data collection towards accessing, understanding and safeguarding our historic built environment. The focus will be on two ongoing H2020 projects, INCEPTION and ROCK, selected to address the problem of CH digitisation and the access to the corresponding digitized resources in relation to historic buildings and urban districts. Therefore, they are presented as inspiring good practices for tackling this issue considering its impacts both at the architectural and urban scale. Stressing the potentials of enabling technologies, such as 3D laser surveys, environment and climate sensors, large crowd monitoring tools and CH analytic, they are also able to orient future research beyond 2020

A Learning Health System for Radiation Oncology

The proposed research aims to address the challenges faced by clinical data science researchers in radiation oncology accessing, integrating, and analyzing heterogeneous data from various sources. The research presents a scalable intelligent infrastructure, called the Health Information Gateway and Exchange (HINGE), which captures and structures data from multiple sources into a knowledge base with semantically interlinked entities. This infrastructure enables researchers to mine novel associations and gather relevant knowledge for personalized clinical outcomes. The dissertation discusses the design framework and implementation of HINGE, which abstracts structured data from treatment planning systems, treatment management systems, and electronic health records. It utilizes disease-specific smart templates for capturing clinical information in a discrete manner. HINGE performs data extraction, aggregation, and quality and outcome assessment functions automatically, connecting seamlessly with local IT/medical infrastructure. Furthermore, the research presents a knowledge graph-based approach to map radiotherapy data to an ontology-based data repository using FAIR (Findable, Accessible, Interoperable, Reusable) concepts. This approach ensures that the data is easily discoverable and accessible for clinical decision support systems. The dissertation explores the ETL (Extract, Transform, Load) process, data model frameworks, ontologies, and provides a real-world clinical use case for this data mapping. To improve the efficiency of retrieving information from large clinical datasets, a search engine based on ontology-based keyword searching and synonym-based term matching tool was developed. The hierarchical nature of ontologies is leveraged to retrieve patient records based on parent and children classes. Additionally, patient similarity analysis is conducted using vector embedding models (Word2Vec, Doc2Vec, GloVe, and FastText) to identify similar patients based on text corpus creation methods. Results from the analysis using these models are presented. The implementation of a learning health system for predicting radiation pneumonitis following stereotactic body radiotherapy is also discussed. 3D convolutional neural networks (CNNs) are utilized with radiographic and dosimetric datasets to predict the likelihood of radiation pneumonitis. DenseNet-121 and ResNet-50 models are employed for this study, along with integrated gradient techniques to identify salient regions within the input 3D image dataset. The predictive performance of the 3D CNN models is evaluated based on clinical outcomes. Overall, the proposed Learning Health System provides a comprehensive solution for capturing, integrating, and analyzing heterogeneous data in a knowledge base. It offers researchers the ability to extract valuable insights and associations from diverse sources, ultimately leading to improved clinical outcomes. This work can serve as a model for implementing LHS in other medical specialties, advancing personalized and data-driven medicine

MPEG-SCORM : ontologia de metadados interoperáveis para integração de padrões multimídia e e-learning

Orientador: Yuzo IanoTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de ComputaçãoResumo: A convergência entre as mídias digitais propõe uma integração entre as TIC, focadas no domínio do multimídia (sob a responsabilidade do Moving Picture Experts Group, constituindo o subcomitê ISO / IEC JTC1 SC29), e as TICE, (TIC para a Educação, geridas pelo ISO / IEC JTC1 SC36), destacando-se os padrões MPEG, empregados na forma de conteúdo e metadados para o multimídia, e as TICE, aplicadas à Educação a Distância, ou e-Learning (o aprendizado eletrônico). Neste sentido, coloca-se a problemática de desenvolver uma correspondência interoperável de bases normativas, atingindo assim uma proposta inovadora na convergência entre as mídias digitais e as aplicações para e-Learning, essencialmente multimídia. Para este fim, propõe-se criar e aplicar uma ontologia de metadados interoperáveis para web, TV digital e extensões para dispositivos móveis, baseada na integração entre os padrões de metadados MPEG-21 e SCORM, empregando a linguagem XPathAbstract: The convergence of digital media offers an integration of the ICT, focused on telecommunications and multimedia domain (under responsibility of the Moving Picture Experts Group, ISO/IEC JTC1 SC29), with the ICTE (the ICT for Education, managed by the ISO/IEC JTC1 SC36), highlighting the MPEG formats, featured as content and as description metadata potentially applied to the Multimedia or Digital TV and as a technology applied to e-Learning. Regarding this, it is presented the problem of developing an interoperable matching for normative bases, achieving an innovative proposal in the convergence between digital Telecommunications and applications for e-Learning, both essentially multimedia. To achieve this purpose, it is proposed to creating a ontology for interoperability between educational applications in Digital TV environments and vice-versa, simultaneously facilitating the creation of learning metadata based objects for Digital TV programs as well as providing multimedia video content as learning objects for Distance Education. This ontology is designed as interoperable metadata for the Web, Digital TV and e-Learning, built on the integration between MPEG-21 and SCORM metadata standards, employing the XPath languageDoutoradoTelecomunicações e TelemáticaDoutor em Engenharia ElétricaCAPE

FEW SHOT PHOTOGRAMETRY: A COMPARISON BETWEEN NERF AND MVS-SFM FOR THE DOCUMENTATION OF CULTURAL HERITAGE

3D documentation methods for Digital Cultural Heritage (DCH) domain is a field that becomes increasingly interdisciplinary, breaking down boundaries that have long separated experts from different domains. In the past, there has been an ambiguous claim for ownership of skills, methodologies, and expertise in the heritage sciences. This study aims to contribute to the dialogue between these different disciplines by presenting a novel approach for 3D documentation of an ancient statue. The method combines TLS acquisition and MVS pipeline using images from a DJI Mavic 2 drone. Additionally, the study compares the accuracy and final product of the Deep Points (DP) and Neural Radiance Fields (NeRF) methods, using the TLS acquisition as validation ground truth. Firstly, a TLS acquisition was performed on an ancient statue using a Faro Focus 2 scanner. Next, a multi-view stereo (MVS) pipeline was adopted using 2D images captured by a Mini-2 DJI Mavic 2 drone from a distance of approximately 1 meter around the statue. Finally, the same images were used to train and run the NeRF network after being reduced by 90%. The main contribution of this paper is to improve our understanding of this method and compare the accuracy and final product of two different approaches - direct projection (DP) and NeRF - by exploiting a TLS acquisition as the validation ground truth. Results show that the NeRF approach outperforms DP in terms of accuracy and produces a more realistic final product. This paper has important implications for the field of CH preservation, as it offers a new and effective method for generating 3D models of ancient statues. This technology can help to document and preserve important cultural artifacts for future generations, while also providing new insights into the history and culture of different civilizations. Overall, the results of this study demonstrate the potential of combining TLS and NeRF for generating accurate and realistic 3D models of ancient statues

I-Views, a storymaking community of, by and for the audience

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 1999.Includes bibliographical references (p. 77-79).This thesis presents I-Views, a system that permits individuals to use published, communally owned media clips to author narratives by assembling clips, and to build communities of similar interests based on comparing these narratives. To facilitate sharing of on-line motion pictures and initiate conversations among storytellers/re-tellers and audiences, I-Views allows widely distributed groups of people to view, edit, compare, evaluate and discuss video material over the Internet. There are two types of tools: web-based video studio tools and virtual community building tools. The former allows the user to view, select, save, re-sequence and publish video clips; while the latter allows the user to initiate dialogues by matching common interests and assumptions and build virtual communities around stories. By offering shared authorship, tools and virtual environments, I-Views demonstrates new story forms such as "Sharable Documentary." Currently, we are evaluating the prototype system using video footage documenting the Junior Summit '98, which is a cross-cultural, cross-geographical and multi-language project involving numerous people, including thousands of children, Junior Summit staff, sponsors, Media Lab faculty and students. Specifically, an international group of filmmakers including four junior filmmakers have contributed more than one hundred hours of footage shot. The current video database includes eighty streaming video clips selected from the footage shot.by Pengkai Pan.S.M

Innovative Technologies and Services for Smart Cities

A smart city is a modern technology-driven urban area which uses sensing devices, information, and communication technology connected to the internet of things (IoTs) for the optimum and efficient utilization of infrastructures and services with the goal of improving the living conditions of citizens. Increasing populations, lower budgets, limited resources, and compatibility of the upgraded technologies are some of the few problems affecting the implementation of smart cities. Hence, there is continuous advancement regarding technologies for the implementation of smart cities. The aim of this Special Issue is to report on the design and development of integrated/smart sensors, a universal interfacing platform, along with the IoT framework, extending it to next-generation communication networks for monitoring parameters of interest with the goal of achieving smart cities. The proposed universal interfacing platform with the IoT framework will solve many challenging issues and significantly boost the growth of IoT-related applications, not just in the environmental monitoring domain but in the other key areas, such as smart home, assistive technology for the elderly care, smart city with smart waste management, smart E-metering, smart water supply, intelligent traffic control, smart grid, remote healthcare applications, etc., signifying benefits for all countries