Subject: Knowledge Graphs
Subject: Linked Data
Subject: Semantic Web
Subject: Visualisation
Subject: RDF
Subject: SPARQL

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Year: 2021

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Type: Proceeding article

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Title: Semantic Web and Data Science Integration Using Computational Books

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Author: Mileski, Dimitar
Author: Jovanovik, Milos
Author: Trajanov, Dimitar

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Abstract: This paper presents the architecture for the development of web applications for exploring semantic knowledge graphs through parameterized interactive visualizations. The web interface and the interactive parameterized visualizations, in the form of a computational book, provide a way in which knowledge graphs can be explored. An important part of using this approach for building interactive web visualizations is that we can substitute the knowledge graph entities with other entities within the existing interactive visualizations, execute commands in a web-based environment, and get the same visualization for the new entities. With this architecture, various applications for interactive visualization of knowledge graphs can be developed, which can also stimulate the interest to explore the graph and its entities. We also present a publicly available open source use-case that is built using the concepts discussed in this paper.

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Publisher: Ss. Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedonia

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Relation: CIIT 2021;

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Identifier: oai:repository.ukim.mk:20.500.12188/15567
Identifier: http://hdl.handle.net/20.500.12188/15567

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