Search Engine for Halal Linked Open Data Using Entity Ranking Approach

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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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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