Sampo-UI: A full stack JavaScript framework for developing semantic portal user interfaces

Author:

Ikkala Esko1,Hyvönen Eero12,Rantala Heikki1,Koho Mikko12

Affiliation:

1. Semantic Computing Research Group (SeCo), Department of Computer Science, Aalto University, Finland

2. HELDIG – Helsinki Centre for Digital Humanities, University of Helsinki, Finland

Abstract

This paper presents a new software framework, Sampo-UI, for developing user interfaces for semantic portals. The goal is to provide the end-user with multiple application perspectives to Linked Data knowledge graphs, and a two-step usage cycle based on faceted search combined with ready-to-use tooling for data analysis. For the software developer, the Sampo-UI framework makes it possible to create highly customizable, user-friendly, and responsive user interfaces using current state-of-the-art JavaScript libraries and data from SPARQL endpoints, while saving substantial coding effort. Sampo-UI is published on GitHub under the open MIT License and has been utilized in several internal and external projects. The framework has been used thus far in creating six published and five forth-coming portals, mostly related to the Cultural Heritage domain, that have had tens of thousands of end-users on the Web.

Publisher

IOS Press

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference26 articles.

1. N. Bikakis and T. Sellis, Exploration and visualization in the web of big linked data: A survey of the state of the art, in: Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, CEUR Workshop Proceedings, Vol. 1558, 2016.

2. Linked data – the story so far;Bizer;International Journal on Semantic Web and Information Systems,2009

3. Auto-Scaling of Containers: The Impact of Relative and Absolute Metrics

4. metaphactory: A platform for knowledge graph management;Haase;Semantic Web – Interoperability, Usability, Applicability,2019

5. Finding the flow in web site search;Hearst;Communications of the ACM,2002

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