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Querying Datasets on the Web with High Availability
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More light-weight interfaces such as read-write Linked Data Platform, Triple Pattern Fragments, and CumulusRDF constitute a scalability improvement but do not necessarily lead to perfect uptimes.
“While this constitutes a scalability improvement (at the cost of, for instance, slower queries), it does not necessarily lead to perfect uptimes, as servers can be down for other reasons than excessive workload.”
From Decentralized provenance-aware publishing with nanopublications (2016) · cites this paper as Verborgh et al., 2014
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Research works printed but not linked: 17
- Amundsen, M.: Hypermedia types. In: rest: From Research to Practice, pp. 93–116. Springer (2011) · DOI
- Bizer, C., Heath, T., Berners-Lee, T.: Linked Data – the story so far. International Journal on Semantic Web and Information Systems 5(3), 1–22 (2009) · DOI
- Bizer, C., Schultz, A.: The Berlin sparql benchmark. International Journal on Semantic Web and Information Systems 5(2), 1–24 (2009) · DOI
- Buil-Aranda, C., Hogan, A.: sparql Web-querying infrastructure: Ready for action? In: Proceedings of the 12th International Semantic Web Conference (November 2013) · DOI · Paper page
- Erling, O., Mikhailov, I.: Virtuoso: rdf support in a native rdbms. In: Semantic Web Information Management, pp. 501–519. Springer (2010) · DOI
- Fernández, J.D., Martínez-Prieto, M.A., Gutirrez, C., Polleres, A., Arias, M.: Binary rdf representation for publication and exchange (hdt). Journal of Web Semantics 19, 22–41 (2013) · DOI
- Fielding, R.T.: Architectural Styles and the Design of Network-based Software Architectures. Ph.D. thesis, University of California (2000)
- Graefe, G.: Query evaluation techniques for large databases. acm Computing Surveys 25(2), 73–169 (June 1993) · DOI
- Grobe, M.: rdf, Jena, sparql and the Semantic Web. In: Proceedings of the 37th Annual acm siguccs Fall Conference: Communication and Collaboration (2009), doi:10.1145/1629501.1629525 · DOI
- Hartig, O.: Zero-knowledge query planning for an iterator implementation of link traversal based query execution. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part I. LNCS, vol. 6643, pp. 154–169. Springer, Heidelberg (2011) · DOI
- Hartig, O.: An overview on execution strategies for Linked Data queries. Datenbank-Spektrum 13(2), 89–99 (2013) · DOI · Paper page
- Hartig, O., Bizer, C., Freytag, J.-C.: Executing SPARQL Queries over the Web of Linked Data. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 293–309. Springer, Heidelberg (2009) · DOI
- Morsey, M., Lehmann, J.: dbpedia sparql benchmark performance assessment with real queries on real data. In: Proceedings of the 9th International Semantic Web Conference (2011) · DOI
- Pérez, J., Arenas, M., Gutierrez, C.: Semantics and complexity of sparql. acm Transactions on Database Systems 34(3), 16:1–16:45 (2009) · DOI
- Schmidt, M., Hornung, T., Meier, M., Pinkel, C., Lausen, G.: SP2Bench: A sparql performance benchmark. In: Semantic Web Information Management (2010) · DOI
- Verborgh, R., Vander Sande, M., Colpaert, P., Coppens, S., Mannens, E., Van de Walle, R.: Web-scale querying through Linked Data Fragments. In: Proceedings of the 7th Workshop on Linked Data on the Web (2014)
- Wilde, E., Hausenblas, M.: restful sparql? You name it! – Aligning sparql with rest and resource orientation. In: Proceedings of the 4 Workshop on Emerging Web Services Technology, pp. 39–43. ACM (2009) · DOI
Cited by
Sorted by citations
Decentralized provenance-aware publishing with nanopublications
Kuhn, T., Chichester, C., Krauthammer, M., Queralt-Rosinach, N., Verborgh, R., Giannakopoulos, G., Ngonga Ngomo, A.-C., Viglianti, R., & Dumontier, M. (2016) · PeerJ Computer Science · doi:10.7717/peerj-cs.78 · Cited by 90
Self-citation
Metadata
- Authors
- Verborgh, R., Hartig, O., De Meester, B., Haesendonck, G., De Vocht, L., Vander Sande, M., Cyganiak, R., Colpaert, P., Mannens, E., & Van de Walle, R.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2014
- Pages
- 180-196
- ISSN
- 0302-9743
- 1611-3349
- Cited by
- 85
- References
- 0
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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