Please use this identifier to cite or link to this item:
Title: Semantic Web and Data Science Integration Using Computational Books
Authors: Mileski, Dimitar
Jovanovik, Milos 
Trajanov, Dimitar 
Keywords: Knowledge Graphs
Linked Data
Semantic Web
Issue Date: May-2021
Publisher: Ss. Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedonia
Series/Report no.: CIIT 2021;
Conference: 18th International Conference on Informatics and Information Technologies - CIIT 2021
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.
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

Files in This Item:
File Description SizeFormat 
swdsintegration-ciit2021.pdf633.92 kBAdobe PDFView/Open
Show full item record

Page view(s)

checked on May 16, 2022


checked on May 16, 2022

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.