scholarly journals Heritage Connector: A Machine Learning Framework for Building Linked Open Data from Museum Collections

2021 ◽  
Author(s):  
Kalyan Dutia ◽  
John Stack
Keyword(s):  
Machine Learning ◽  
Open Data ◽  
Linked Open Data ◽  
Museum Collections ◽  
Learning Framework

scholarly journals Heritage Connector: A Machine Learning Framework for Building Linked Open Data from Museum Collections

2021 ◽  
Author(s):  
Kalyan Dutia ◽  
John Stack
Keyword(s):  
Machine Learning ◽  
Named Entity Recognition ◽  
Open Data ◽  
Linked Open Data ◽  
Entity Recognition ◽  
Digital Museum ◽  
Named Entity ◽  
Learning Framework ◽  
Almost All ◽  
Small Cloud

As with almost all data, museum collection catalogues are largely unstructured, variable in consistency and overwhelmingly composed of thin records. The form of these catalogues means that the potential for new forms of research, access and scholarly enquiry that range across multiple collections and related datasets remains dormant. In the project Heritage Connector: Transforming text into data to extract meaning and make connections, we are applying a battery of digital techniques to connect similar, identical and related items within and across collections and other publications. In this paper we describe a framework to create a Linked Open Data knowledge graph (KG) from digital museum catalogues, connect entities within this graph to Wikidata, and create new connections in this graph from text. We focus on the use of machine learning to create these links at scale with a small amount of labelled data, on a mid-range laptop or a small cloud virtual machine. We publish open-source software providing tools to perform the tasks of KG creation, entity matching and named entity recognition under these constraints.

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

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

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

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