Study Support and Integration of Cultural Information Resources with Linked Data

Kamura, Tetsuro; Takeda, Hideaki; Ohmukai, Ikki; Kato, Fumitoshi; Takahashi, Tōru; Ueda, Hiroshi

doi:10.1109/culture-computing.2011.53

Cited by 6 publications

(5 citation statements)

References 2 publications

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“…Currently, DBpedia 3 , DBpedia Japanese 4 , LODAC Museum [5] and LODAC Species are listed as endpoints 5 . A simple query example with these datasets is searching some entities (such as universities) that have the same property and value (such as the homepage URL) in DBpedia and DBpedia Japanese.…”

Section: Methodsmentioning

confidence: 99%

DashSearch LD: Exploratory Search for Linked Data

Goto

Takeda

Hamasaki

2013

Semantic Technology

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Although a large number of datasets gathered as Linked Open Data (LOD) is better for data sharing and re-using, the datasets themselves become more difficult to understand. Since each dataset has its own data structure, we need to understand datasets individually. In addition, since the entities in datasets are interconnected, we need to understand the interconnections between datasets. In other words, understanding the data is crucial for exploiting LOD. In this paper, we show a novel system called DashSearch LD to understand and use LOD with an exploratory search approach. The user interactively explores datasets by viewing and selecting entities in the datasets. Specifically, the user manipulates widgets on the screen by moving and overlapping them with a mouse to check entities, draw detail data on them, and obtain other entities linked by the widgets.

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Section: Methodsmentioning

confidence: 99%

DashSearch LD: Exploratory Search for Linked Data

Goto

Takeda

Hamasaki

2013

Semantic Technology

Self Cite

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“…The two main contributions of this dataset are the inclusion of internal vocabularies and the fact that the complexity of the original dataset is retained (de Boer et al 2012). In 2010, Japan launched the Linked Open Data for Academia (LODAC) project, bringing together fifteen of the museums in Japan and providing them with the appropriate data model to enable them to publish the RDF data and to connect to the data hub (Kamura et al 2011). LODAC allows for an integrated multilingual access to diverse digital archives of Japanese prints.…”

Section: Linked Open Data Projects In Museumsmentioning

confidence: 99%

Laying the Ground for DOLMEN: Offering a Simple Standardization Starts with Understanding What Museums Do

Fortier¹,

Ménard²

2017

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is a postdoctoral fellow under the supervision of Elaine Ménard within the context of DOLMEN, a project investigating the use of linked open data to catalogue museum artefacts. His contributions to DOLMEN will be to help model the description of museum artefacts and to study users' perception of the developed model. During his postdoctoral training, he looks forward to merging his keen interests for information organization and information behaviour. Fortier received his doctorate from the University of Western Ontario in 2016.

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“…Portanto, através do desenvolvimento da Taxonomia Ontológica, é possível um compartilhamento e organização mais eficientes de informações presentes em bases de dados relacionadas a Informática Médica. Por ser concebida em OWL, de acordo com os padrões do W3C, sua integração com projetos como os propostos por Borges (2011) e Kamura (2011) bem como com ferramentas de buscas baseadas em tecnologias semânticas, além de ser de grande utilidade para o desenvolvimento da Web Semântica, Hausenblas (2010).…”

Section: Figura 1 Taxonomia Ontológica Desenvolvida No Presente Trabalhounclassified

Uma Taxonomia Ontológica para a Classificação de Estudos em Informática Médica

Mota¹,

Tavares²,

Campos³

et al. 2013

Anais Do IX Simpósio Brasileiro De Sistemas De Informação (SBSI 2013)

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Tendo em vista a importância que a Informática Médica adquiriu, através da utilização de técnicas de Inteligência Artificial em suas aplicações, especialmente em relação ao Engenharia do Conhecimento e Ontologias, é necessário mapear a evolução desta área de modo completamente, imparcial e sistemático. Por isso, foi desenvolvido um mapeamento sistemático que tem como objetivo documentar o uso de ontologias em Informática Médica. Por não ter sido encontrada uma taxonomia geral que defina as subáreas da Informática Médica e permita a classificação dos estudos selecionados para mapeamento sistemático, este trabalho apresenta um estudo sobre a construção de uma taxonomia que caracterize as subáreas de Informática Médica.

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Study Support and Integration of Cultural Information Resources with Linked Data

Cited by 6 publications

References 2 publications

DashSearch LD: Exploratory Search for Linked Data

DashSearch LD: Exploratory Search for Linked Data

Laying the Ground for DOLMEN: Offering a Simple Standardization Starts with Understanding What Museums Do

Uma Taxonomia Ontológica para a Classificação de Estudos em Informática Médica

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