A Methodological Approach on Linked Open Data Production: The Publicspending.Gr Project

O surgimento de novas tecnologias, tem introduzido meios para a divulgação e a disponibilização das informações mais eficientemente. Uma iniciativa, chamada de Europeana, vem promovendo esta adaptação dos objetos informacionais dentro da Web, e mais especificamente no Linked Data. Desta forma, o presente estudo tem como objetivo apresentar uma discussão acerca da relação entre as Humanidades Digitais e o Linked Open Data, na figura da Europeana. Para tal, utilizamos uma metodologia exploratória e que busca explorar as questões relacionadas ao modelo de dados da Europeana, EDM, por meio do SPARQL. Como resultados, compreendemos as características do EDM, pela utilização do SPARQL. Identificamos, ainda, a importância que o conceito de Humanidades Digitais possui dentro do contexto da Europeana.Palavras-chave: Web semântica. Linked open data. Humanidades digitais. Europeana. EDM.Link: https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2017v22n48p88/33031

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ParlTech: Transformation Framework for the Digital Parliament

Big Data and Cognitive Computing ◽

10.3390/bdcc5010015 ◽

2021 ◽

Vol 5 (1) ◽

pp. 15

Author(s):

Dimitris Koryzis ◽

Apostolos Dalas ◽

Dimitris Spiliotopoulos ◽

Fotios Fitsilis

Keyword(s):

Business Processes ◽

Rapid Evolution ◽

Open Data ◽

Added Value ◽

User Perspective ◽

Novel Technologies ◽

Innovative Methods ◽

Data Production ◽

Governance Institutions ◽

Transformational Framework

Societies are entering the age of technological disruption, which also impacts governance institutions such as parliamentary organizations. Thus, parliaments need to adjust swiftly by incorporating innovative methods into their organizational culture and novel technologies into their working procedures. Inter-Parliamentary Union World e-Parliament Reports capture digital transformation trends towards open data production, standardized and knowledge-driven business processes, and the implementation of inclusive and participatory schemes. Nevertheless, there is still a limited consensus on how these trends will materialize into specific tools, products, and services, with added value for parliamentary and societal stakeholders. This article outlines the rapid evolution of the digital parliament from the user perspective. In doing so, it describes a transformational framework based on the evaluation of empirical data by an expert survey of parliamentarians and parliamentary administrators. Basic sets of tools and technologies that are perceived as vital for future parliamentary use by intra-parliamentary stakeholders, such as systems and processes for information and knowledge sharing, are analyzed. Moreover, boundary conditions for development and implementation of parliamentary technologies are set and highlighted. Concluding recommendations regarding the expected investments, interdisciplinary research, and cross-sector collaboration within the defined framework are presented.

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Decentralized Linked Open Data in Constrained Wireless Sensor Networks

2020 7th International Conference on Internet of Things: Systems, Management and Security (IOTSMS) ◽

10.1109/iotsms52051.2020.9340221 ◽

2020 ◽

Author(s):

Bart Moons ◽

Flor Sanders ◽

Thijs Paelman ◽

Jeroen Hoebeke

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Open Data ◽

Linked Open Data ◽

Wireless Sensor

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A Hybrid Approach Combining R*-Tree and k-d Trees to Improve Linked Open Data Query Performance

Applied Sciences ◽

10.3390/app11052405 ◽

2021 ◽

Vol 11 (5) ◽

pp. 2405

Author(s):

Yuxiang Sun ◽

Tianyi Zhao ◽

Seulgi Yoon ◽

Yongju Lee

Keyword(s):

Flash Memory ◽

Query Language ◽

Hybrid Approach ◽

Open Data ◽

Main Memory ◽

Linked Open Data ◽

Index Structure ◽

Identification Algorithm ◽

Distributed Computing Systems ◽

Query Performance

Semantic Web has recently gained traction with the use of Linked Open Data (LOD) on the Web. Although numerous state-of-the-art methodologies, standards, and technologies are applicable to the LOD cloud, many issues persist. Because the LOD cloud is based on graph-based resource description framework (RDF) triples and the SPARQL query language, we cannot directly adopt traditional techniques employed for database management systems or distributed computing systems. This paper addresses how the LOD cloud can be efficiently organized, retrieved, and evaluated. We propose a novel hybrid approach that combines the index and live exploration approaches for improved LOD join query performance. Using a two-step index structure combining a disk-based 3D R*-tree with the extended multidimensional histogram and flash memory-based k-d trees, we can efficiently discover interlinked data distributed across multiple resources. Because this method rapidly prunes numerous false hits, the performance of join query processing is remarkably improved. We also propose a hot-cold segment identification algorithm to identify regions of high interest. The proposed method is compared with existing popular methods on real RDF datasets. Results indicate that our method outperforms the existing methods because it can quickly obtain target results by reducing unnecessary data scanning and reduce the amount of main memory required to load filtering results.

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