Discovering Critical Factors Affecting RDF Stores Success
205
4 Conclusions
As an outcome of this research, it can be stated that various features are relevant for
the success of an RDF store depending on the application context where SWT are
applied. Their lack can be a prominent gap that must be investigated by researchers
and technicians in the close future. However, further features of an RDF store must
be investigated, also analyzing other relevant domains in addition to the three already
analyzed. In particular, one of these features consists in the capability of an RDF
store to be linked with legacy systems. For this reason, first of all, it will be essential
to extend and update this study by adding new criteria. In addition, this study will be
complemented with the rating of the selected criteria using an AHP method, on the
basis of the individual preferences of a selected sample of end-users. The goal is to
face this challenge also in future works.
Acknowledgements The present paper has been developed within CasAware project, approved by
Lombardy region (id 147152) within the Call “Bando Linea RS per aggregazioni”.
References
1. Aslan, K., Molli, P., Skaf-Molli, H., Weiss, S.: C-set: A Commutative Replicated Data Type
for Semantic Stores (2011)
2. Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Sci. Am. 284(5), 34–43 (2001)
3. Bizer, C., Heath, T., Berners-Lee, T.: Linked data: the story so far. In: Semantic Services,
Interoperability and Web Applications: Emerging Concepts, pp. 205–227. IGI Global (2011)
4. Bizer, C., Schultz, A.: The berlin SPARQL benchmark. Int. J. Semant. Web Inf. Syst. (IJSWIS)
5(2), 1–24 (2009)
5. Boncz, P., Fundulaki, I., Gubichev, A., Larriba-Pey, J., Neumann, T.: The linked data benchmark
council project. Datenbank-Spektrum 13(2), 121–129 (2013)
6. Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini, M., Poggi, A., Rosati, R., Ruzzi, M.:
Data integration through DL-LiteA ontologies. In: International Workshop on Semantics in
Data and Knowledge Bases, pp. 26–47. Springer (2008)
7. Cudré-Mauroux, P., Enchev, I., Fundatureanu, S., Groth, P., Haque, A., Harth, A., Keppmann,
F.L., Miranker, D., Sequeda, J.F., Wylot, M.: NOSQL databases for RDF: an empirical evaluation. In: International Semantic Web Conference, pp. 310–325. Springer (2013)
8. Curé, O., Blin, G.: RDF Database Systems: Triples Storage and SPARQL Query Processing.
Morgan Kaufmann, Boston (2014)
9. Delone, W.H., McLean, E.R.: The DeLone and McLean model of information systems success:
a ten-year update. J. Manag. Inf. Syst. 19(4), 9–30 (2003)
10. Eisenhardt, K.M.: Building theories from case study research. Acad. Manag. Rev. 14(4), 532–
550 (1989)
11. Faye, D.C., Cure, O., Blin, G.: A Survey of RDF Storage Approaches (2012)
12. Ganzha, M., Paprzycki, M., Pawłowski, W., Szmeja, P., Wasielewska, K.: Semantic interoperability in the internet of things: an overview from the inter-IoT perspective. J. Netw. Comput.
Appl. 81, 111–124 (2017)
13. Guo, Y., Pan, Z., Heflin, J.: LUBM: a benchmark for OWL knowledge base systems. J. Web
Semant. 3(2–3), 158–182 (2005)
14. Haase, P., Mathäß, T., Ziller, M.: An evaluation of approaches to federated query processing
over linked data. In: Proceedings of the 6th International Conference on Semantic Systems,
pp. 1–9 (2010)
205
4 Conclusions
As an outcome of this research, it can be stated that various features are relevant for
the success of an RDF store depending on the application context where SWT are
applied. Their lack can be a prominent gap that must be investigated by researchers
and technicians in the close future. However, further features of an RDF store must
be investigated, also analyzing other relevant domains in addition to the three already
analyzed. In particular, one of these features consists in the capability of an RDF
store to be linked with legacy systems. For this reason, first of all, it will be essential
to extend and update this study by adding new criteria. In addition, this study will be
complemented with the rating of the selected criteria using an AHP method, on the
basis of the individual preferences of a selected sample of end-users. The goal is to
face this challenge also in future works.
Acknowledgements The present paper has been developed within CasAware project, approved by
Lombardy region (id 147152) within the Call “Bando Linea RS per aggregazioni”.
References
1. Aslan, K., Molli, P., Skaf-Molli, H., Weiss, S.: C-set: A Commutative Replicated Data Type
for Semantic Stores (2011)
2. Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Sci. Am. 284(5), 34–43 (2001)
3. Bizer, C., Heath, T., Berners-Lee, T.: Linked data: the story so far. In: Semantic Services,
Interoperability and Web Applications: Emerging Concepts, pp. 205–227. IGI Global (2011)
4. Bizer, C., Schultz, A.: The berlin SPARQL benchmark. Int. J. Semant. Web Inf. Syst. (IJSWIS)
5(2), 1–24 (2009)
5. Boncz, P., Fundulaki, I., Gubichev, A., Larriba-Pey, J., Neumann, T.: The linked data benchmark
council project. Datenbank-Spektrum 13(2), 121–129 (2013)
6. Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini, M., Poggi, A., Rosati, R., Ruzzi, M.:
Data integration through DL-LiteA ontologies. In: International Workshop on Semantics in
Data and Knowledge Bases, pp. 26–47. Springer (2008)
7. Cudré-Mauroux, P., Enchev, I., Fundatureanu, S., Groth, P., Haque, A., Harth, A., Keppmann,
F.L., Miranker, D., Sequeda, J.F., Wylot, M.: NOSQL databases for RDF: an empirical evaluation. In: International Semantic Web Conference, pp. 310–325. Springer (2013)
8. Curé, O., Blin, G.: RDF Database Systems: Triples Storage and SPARQL Query Processing.
Morgan Kaufmann, Boston (2014)
9. Delone, W.H., McLean, E.R.: The DeLone and McLean model of information systems success:
a ten-year update. J. Manag. Inf. Syst. 19(4), 9–30 (2003)
10. Eisenhardt, K.M.: Building theories from case study research. Acad. Manag. Rev. 14(4), 532–
550 (1989)
11. Faye, D.C., Cure, O., Blin, G.: A Survey of RDF Storage Approaches (2012)
12. Ganzha, M., Paprzycki, M., Pawłowski, W., Szmeja, P., Wasielewska, K.: Semantic interoperability in the internet of things: an overview from the inter-IoT perspective. J. Netw. Comput.
Appl. 81, 111–124 (2017)
13. Guo, Y., Pan, Z., Heflin, J.: LUBM: a benchmark for OWL knowledge base systems. J. Web
Semant. 3(2–3), 158–182 (2005)
14. Haase, P., Mathäß, T., Ziller, M.: An evaluation of approaches to federated query processing
over linked data. In: Proceedings of the 6th International Conference on Semantic Systems,
pp. 1–9 (2010)