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Conclusions and Future Work

In this chapter, we presented three tools as part of the LOD2 project that aim at facilitating the exploration of Linked Open Data. Rsine is a tool that sends notifications about changes in a RDF dataset. CubeViz is a data cube visualisation tool for statistical data. Facete is a faceted browser application with a focus on spartial data.

We presented the design, implementation and integration of rsine, a service that notifies subscribers on specific changes in an RDF data set. We integrated the service with two LOD2 stack components and showed its applicability by supporting requirements for notifications in a thesaurus and metadata editing scenario at WKD.

Our immediate next steps are to evaluate the implemented thesaurus notifications in the context of a thesaurus development project at WKD. We are interested in the performance of our approach and the “usefulness” of the notifications, i.e., if and in what way they influence the quality of the created thesauri. We furthermore plan to set up multiple rsine instances in this environment to gain insights about how notifications can help when references between datasets on distinct servers are created, modified or deleted.

We presented the architecture, analysis components and visualization interfaces of CubeViz, a RDF Data Cube browser. In addition to the exploration of locally stored RDF data cubes it is possible to access remotely published ones using a combination of the SPARQL backend and the SPARQL services component. Such a setup was deployed on the European Commission's IT infrastructure as part of the European Data Portal[1].

There are further deployments of CubeViz made online such as LinkedSpending[2], which contain government spendings from all over the world represented and published as Linked Data (more than 2.4 million observations in 247 datasets). Using LinkedSpending, interested users can gather information about greek spending on police in certain regions in 2012 for instance (jump in using the button Example Visualization 2 on the start page).

CubeViz is publicly available for download[3] and its latest releases can be evaluated using an online demonstrator[4]. CubeViz is under active development and will be further extended with new features such as drill-down functionality, additional interactive and customizable charts, further chart APIs such as the Google Charts API [5], aggregate functions and mashup features to compare observations from different domains.

Lastly, we gave an overview about Facete, a tool for browsing Linked Data in a domain-agnostic way with a focus on spatial data. Its major goal is to ease the navigation of RDF data in SPARQL endpoints using advanced faceted search techniques and in addition the provision of corresponding visualization widgets. Facete is published under the Apache 2.0, license and its development continues within the GeoKnow project[6]. Further information such as new releases, links to the sources, demos and documentation can be found on the project page[7].

Open Access. This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

  • [1] https://open-data.europa.eu/cubeviz/
  • [2] linkedspending.aksw.org/
  • [3] https://github.com/AKSW/CubeViz/
  • [4] cubeviz.aksw.org/
  • [5] https://developers.google.com/chart/
  • [6] geoknow.eu
  • [7] aksw.org/Projects/Facete
 
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