ANCIENT EGYPTIAN TEXTS IN CONTEXT. TOWARDS A CONCEPTUAL DATA MODEL (THE THOT DATA MODEL - TDM)

2016 ◽  
Vol 59 (2) ◽  
pp. 24-41
Author(s):  
STÉPHANE POLIS ◽  
VINCENT RAZANAJAO

Abstract In this paper, we propose a conceptual data model which could be the basis for future implementations of databases and digital corpuses of Ancient Egyptian texts that fully integrate the material dimensions of writing. The types of metadata that can be used for documenting the elements and relationships of this model are discussed and the resources (URIs) available for its online implementation (in the perspective of the ‘linked open data’ movement) are examined.

Author(s):  
Tim Davies ◽  
Stephen B. Walker ◽  
Mor Rubinstein ◽  
Fernando Luis Perini

Its been ten years since open data first broke onto the global stage. Over the past decade, thousands of programmes and projects around the world have worked to open data and use it to address a myriad of social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain. How will open data initiatives respond to new concerns about privacy, inclusion, and artificial intelligence? And what can we learn from the last decade in order to deliver impact where it is most needed? The State of Open Data brings together over 60 authors from around the world to address these questions and to take stock of the real progress made to date across sectors and around the world, uncovering the issues that will shape the future of open data in the years to come.


2015 ◽  
Vol 12 (1) ◽  
pp. 71-91 ◽  
Author(s):  
Daniel E. O'Leary

ABSTRACT Increasingly, there is interest in using information and communications technology (ICT) to help build a “better world.” As an example, the United Kingdom has initiated an “open data” movement to disclose financial information about federal and local governments and other organizations. This has led to the use of a wide range of technologies (Internet, Databases, Web 2.0, etc.) to facilitate disclosure. However, since there is a huge cost of generating and maintaining open data, there also is a concern: “will anyone do anything with the data?” In a speech in 2009, David Cameron, the Prime Minister of the United Kingdom, used the term “armchair auditor” to describe crowdsourcing analysis of that data. In that speech, Cameron (2009) noted: “Just imagine the effect that an army of armchair auditors is going to have on those expense claims.” Accordingly, as more and more countries and organizations generate open data, those “armchair auditors” could play an increasingly important role: to help crowdsource monitoring of government expenditures. This paper investigates a number of potential benefits and a number of emerging concerns associated with armchair auditors.


2019 ◽  
Vol 5 (1) ◽  
pp. 91-107 ◽  
Author(s):  
Mark Y. Liberman

Semiautomatic analysis of digital speech collections is transforming the science of phonetics. Convenient search and analysis of large published bodies of recordings, transcripts, metadata, and annotations—up to three or four orders of magnitude larger than a few decades ago—have created a trend towards “corpus phonetics,” whose benefits include greatly increased researcher productivity, better coverage of variation in speech patterns, and crucial support for reproducibility. The results of this work include insights into theoretical questions at all levels of linguistic analysis, along with applications in fields as diverse as psychology, medicine, and poetics, as well as within phonetics itself. Remaining challenges include still-limited access to the necessary skills and a lack of consistent standards. These changes coincide with the broader Open Data movement, but future solutions will also need to include more constrained forms of publication motivated by valid concerns for privacy, confidentiality, and intellectual property.


Em Questão ◽  
2020 ◽  
Vol 27 (1) ◽  
pp. 185-209
Author(s):  
Maria Lígia Triques ◽  
Ana Carolina Simionato Arakaki

Com a finalidade de representar de forma abstrata as relações e entidades, os modelos de dados ganham destaque como melhores práticas nos processos de análise e representação da informação, especificamente no planejamento e desenvolvimento de sistemas interoperáveis e persistentes. Nesse sentido, apresenta-se um estudo sobre o Europeana Data Model (EDM), modelo de dados desenvolvido pela plataforma Europeana com base nas tecnologias semânticas e nos princípios do Linked Open Data. Por meio de uma pesquisa qualitativa, exploratória, bibliográfica e documental, discute-se como o uso de um modelo de dados, tal como o EDM, possibilita que as necessidades de representação informacional de coleções de dados de patrimônios culturais sejam atendidas no ambiente Web. Desse modo, o objetivo do estudo foi analisar a estruturação e representação proposta pela Europeana para as coleções de patrimônios culturais. Como resultado, destaca-se a modelagem de dados, que é o processo pelo qual o EDM pauta seu funcionamento, possibilitando que as necessidades informacionais sejam contempladas. Conclui-se, por fim que a importância dos modelos de dados, tal como o EDM, encontra-se na possibilidade de apreender o contexto semântico a qual um conjunto de dados de patrimônios culturais pertence ou está relacionado, garantindo a persistência de seus conceitos e relações nos ambientes informacionais.


2018 ◽  
Vol 7 (3.33) ◽  
pp. 225
Author(s):  
Hee-kyung Moon ◽  
Sung-kook Han ◽  
Chang-ho An

This paper describes Linked Open Data(LOD) development system and its application of medical information standard as Observational Medical Outcomes Partnership(OMOP) Common Data Model(CDM). The OMOP CDM allows for the systematic analysis of disparate observational database in each hospital. This paper describes a LOD instance development system based on SII. It can generate the application-specified instance development system automatically. Therefore, we applied by medical information standard as OMOP CDM to LOD development system. As a result, it was confirmed that there is no problem in applying to the standardization of medical information using the LOD development system.  


2021 ◽  
pp. 374-383
Author(s):  
Branka Mraović

This paper aims to shed light on how students and young employees in Croatia assess their education for open data and what is their opinion on the compliance of the central Open Data Portal with the needs of young people as well as how they evaluate open data policy related to the young people in Croatia. This research highlights the lack of technical knowledge as a serious obstacle to the productive use of open data. As many as 56% of respondents from companies that have undergone digital transformation believe that they do not have enough knowledge to participate in open data projects, and the same scepticism is expressed by 59.6% of non-technical respondents and 45.7% of students. The data presented in this paper is part of a broader empirical research on the impact of digitalization on the transformation of the Croatian economy, carried out by the author in late 2018 on a sample of 51 young employees from 10 companies in the city of Zagreb and 70 students from 16 technical and non-technical Faculties of Zagreb University.


Author(s):  
Khadidja Bouchelouche ◽  
Abdessamed Réda Ghomari ◽  
Leila Zemmouchi-Ghomari

Open Government Data (OGD) is a movement that has spread worldwide, enabling the publication of thousands of datasets on the Web, aiming to concretize transparency and citizen participatory governance. This initiative can create value by linking data describing the same phenomenon from different perspectives using the traditional Web and semantic web technologies. A framework of these technologies is linked data movement that guides the publication of data and their interconnection in a machine-readable means enabling automatic interpretation and exploitation. Nevertheless, Open Government Data publication as Linked Open Data (LOD) is not a trivial task due to several obstacles, such as data heterogeneity issues. Many works dealing with this transformation process have been published that need to be investigated thoroughly to deduce the general trends and the issues related to this field. The current work proposes a classification of existing methods dealing with OGD-LOD transformation and a synthesis study to highlight their main trends and challenges.


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