Adapting the LodView RDF Browser for Navigation over the Multilingual Linguistic Linked Open Data Cloud

Autor: Kirillovich, Alexander, Nikolaev, Konstantin
Rok vydání: 2022
Předmět:
Zdroj: Proceedings of the 9th IEEE International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT 2022), Genova, Italy & Sfax, Tunisia, 28-30 May 2022. IEEE, 2022. Pp. 143-149
Druh dokumentu: Working Paper
DOI: 10.1109/SETIT54465.2022.9875628
Popis: The paper is dedicated to the use of LodView for navigation over the multilingual Linguistic Linked Open Data cloud. First, we define the class of Pubby-like tools, that LodView belongs to, and clarify the relation of this class to the classes of URI dereferenciation tools, RDF browsers and LOD visualization tools. Second, we reveal several limitations of LodView that impede its use for the designated purpose, and propose improvements to be made for fixing these limitations. These improvements are: 1) resolution of Cyrillic URIs; 2) decoding Cyrillic URIs in Turtle representations of resources; 3) support of Cyrillic literals; 4) user-friendly URLs for RDF representations of resources; 5) support of hash URIs; 6) expanding nested resources; 7) support of RDF collections; 8) pagination of resource property values; and 9) support of $\LaTeX$ math notation. Third, we partially implement several of the proposed improvements.
Databáze: arXiv