Advances in Accessing Big Data with Expressive Ontologies

Author:

Möller Ralf,Neuenstadt Christian,Özçep Özgür L.,Wandelt Sebastian

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini, M., Poggi, A., Rodriguez-Muro, M., Rosati, R.: Ontologies and databases: The DL-Lite approach. In: Reasoning Web. Semantic Technologies for Information Systems, pp. 255–356 (2009)

2. Dolby, J., Fokoue, A., Kalyanpur, A., Kershenbaum, A., Schonberg, E., Srinivas, K., Ma, L.: Scalable semantic retrieval through summarization and refinement. In: Proceedings of the National Conference on Artificial Intelligence, p. 299. AAAI Press, MIT Press, Cambridge, Menlo Park (1999, 2007)

3. Dolby, J., Fokoue, A., Kalyanpur, A., Schonberg, E., Srinivas, K.: Scalable highly expressive reasoner (SHER). J. Web Sem. 7(4), 357–361 (2009)

4. Grau, B.C., Parsia, B., Sirin, E., Kalyanpur, A.: Modularity and web ontologies. In: Proc. KR 2006 (2006)

5. Guo, Y., Heflin, J.: A scalable approach for partitioning owl knowledge bases. In: Proc. of the 2nd International Workshop on Scalable Semantic Web Knowledge Base Systems, SSWS 2006 (2006)

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