Children's art museum collections as Linked Open Data

2021 ◽  
Vol 15 (1) ◽  
pp. 60
Author(s):  
Konstantinos Kotis ◽  
Sotiris Angelis ◽  
Maria Chondrogianni ◽  
Efstathia Marini
Keyword(s):  
Open Data ◽  
Art Museum ◽  
Linked Open Data ◽  
Museum Collections ◽  
Children's Art

Children's art museum collections as Linked Open Data

2021 ◽  
Vol 15 (1) ◽  
pp. 60
Author(s):  
Efstathia Marini ◽  
Konstantinos Kotis ◽  
Sotiris Angelis ◽  
Maria Chondrogianni
Keyword(s):  
Open Data ◽  
Art Museum ◽  
Linked Open Data ◽  
Museum Collections ◽  
Children's Art

Byzantine-period lamps from Antioch-on-the-Orontes and its hinterland

2019 ◽  
Author(s):  
Ani Eblighatian
Keyword(s):  
United States ◽  
The United States ◽  
Art Museum ◽  
Archaeological Sites ◽  
Museum Collections ◽  
Doctoral Research ◽  
Princeton University ◽  
Byzantine Period ◽  
The University ◽  
Roman Syria

The paper is an off-shoot of the author's PhD project on lamps from Roman Syria (at the University of Geneva in Switzerland), centered mainly on the collection preserved at the Art Museum of Princeton University in the United States. One of the outcomes of the research is a review of parallels from archaeological sites and museum collections and despite the incomplete documentation i most cases, much new insight could be gleaned, for the author's doctoral research and for other issues related to lychnological studies. The present paper collects the data on oil lamps from byzantine layers excavated in 1932–1939 at Antioch-on-the-Orontes and at sites in its vicinity (published only in part so far) and considers the finds in their archaeological context.

A Study on program of exhibition interpretation in children’s art museum

2019 ◽  
Vol 16 (2) ◽  
pp. 81-91
Author(s):  
Sunyoung Yoon ◽  
YoonJeong Jeong
Keyword(s):  
Art Museum ◽  
Children's Art

Europeana no Linked Open Data: conceitos de Web Semântica na dimensão aplicada das humanidades digitais

2017 ◽  
Vol 12 (2) ◽  
Author(s):  
Caio Saraiva Coneglian ◽  
José Eduardo Santarem Segundo
Keyword(s):  
Linked Data ◽  
Open Data ◽  
Linked Open Data

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

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

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.

Enrichment of EHR with Linked Open Data for Risk Factors Identification

2019 ◽  
Author(s):  
Svetla Boytcheva ◽  
Galia Angelova ◽  
Zhivko Angelov ◽  
Dimitar Tcharaktchiev ◽  
Vlayko Vodenicharov
Keyword(s):  
Risk Factors ◽  
Open Data ◽  
Linked Open Data
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