Conclusion

The LOD2 stack has successfully established a dissemination platform for Linked Data software. After the incubation period inside the LOD2 project the Linked Data community continues to be supported via stack.linkeddata.org. The success of the Linked Data stack is in the first place due to the quality and the progress of the software components it distributes. The inclusion of new and updated software is the oxygen that keeps the Linked Data stack alive. This oxygen will be provided by the core contributors as they keep on improving their components and are devoted to provide regular improvement releases to the stack.

The Statistical Workbench shows that starting from the LOD2 stack, the foundations are present to create applications tuned for a particular information domain. With the current state of the LOD2 stack, data managers can prototype the required data information streams. Although there is no uniform homogenous end-user interface, exactly this prototyping ability is crucial in bootstrapping the design of the desired end-user interfaces.

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.

References

1. Janev, V., Milosevic, U., Spasic, M., Vranes, S., Milojkovic, J., Jirecek, B.: Integrating serbian public data into the LOD cloud. In: Ivanovic, M., Budimac, Z., Radovanovic, M. (eds.) BCI, pp. 94–99. ACM (2012)

2. Janev, V., Vranes, S.: Applicability assessment of semantic web technologies. Inf. Process. Manage. 47(4), 507–517 (2011)

3. Khalili, A., Auer, S.: WYSIWYM authoring of structured content based on Schema.org. In: Lin, X., Manolopoulos, Y., Srivastava, D., Huang, G. (eds.) WISE 2013, Part II. LNCS, vol. 8181, pp. 425–438. Springer, Heidelberg (2013)

4. Ortmann, J., Limbu, M., Wang, D., Kauppinen, T.: Crowdsourcing linked open data for disaster management. In: Terra Cognita Workshop 2011 at ISWC2011. CEUR WS Proceedings (2011)

5. Paulheim, H.: Generating possible interpretations for statistics from linked open data. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 560–574. Springer, Heidelberg (2012)

6. Sabou, M., Brasoveanu, A.M.P., Arsal, I.: Supporting tourism decision making with linked data. In: Presutti, V., Pinto, H.S. (eds.) I-SEMANTICS, pp. 201–204. ACM (2012)

7. Samwald, M., Jentzsch, A., Bouton, Ch., Kallesoe, C., Willighagen, E.L., Hajagos, J., Scott Marshall, M., Prud'hommeaux, E., Hassanzadeh, O., Pichler, E., Stephens, S.: Linked open drug data for pharmaceutical research and development. J. Cheminform. 3, 19 (2011)

8. Mijovic, V., Janev, V., Vrane, S.: LOD2 tool for validating RDF data cube models. In: Conference Web Proceedings of the ICT Innovation Conference 2013 (2013)

 
< Prev   CONTENTS   Next >