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SPARQL Web-Querying Infrastructure: Ready for Action?
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More than half of the publicly accessible SPARQL endpoints are available less than 95% of the time.
“A recent study found that more than half of the publicly accessible SPARQL endpoints are available less than 95% of the time (Buil-Aranda et al., 2013)”
From Decentralized provenance-aware publishing with nanopublications (2016) · cites this paper as Buil-Aranda et al., 2013
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Research works printed but not linked: 17
- Acosta, M., Vidal, M.-E., Lampo, T., Castillo, J., Ruckhaus, E.: ANAPSID: An adaptive query processing engine for SPARQL endpoints. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 18–34. Springer, Heidelberg (2011) · DOI
- Alexander, K., Cyganiak, R., Hausenblas, M., Zhao, J.: Describing linked datasets. In: LDOW, vol. 538. CEUR (2009)
- Basca, C., Bernstein, A.: Avalanche: Putting the spirit of the web back into semantic web querying. In: SSWS, vol. 669, pp. 524–538. CEUR (2010)
- Bornhövd, C., Altinel, M., Mohan, C., Pirahesh, H., Reinwald, B.: Adaptive database caching with dbcache. IEEE Data Eng. Bull. 27(2), 11–18 (2004)
- Buil-Aranda, C., Arenas, M., Corcho, O., Polleres, A.: Federating queries in SPARQL 1.1: Syntax, semantics and evaluation. JWS 18(1), 1–17 (2013) · DOI
- Franklin, M.J., Halevy, A.Y., Maier, D.: From databases to dataspaces: a new abstraction for information management. SIGMOD Record 34(4), 27–33 (2005) · DOI · Paper page
- Gallego, M.A., Fernández, J.D., Martínez-Prieto, M.A., Fuente, P.D.L.: An empirical study of real-world SPARQL queries. In: USEWOD Workshop (2012)
- Glaser, H., Millard, I.C., Jaffri, A.: RKBExplorer.com: A knowledge driven infrastructure for Linked Data providers. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 797–801. Springer, Heidelberg (2008) · DOI
- Goldman, R., Widom, J.: DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases. In: VLDB, pp. 436–445 (1997)
- Görlitz, O., Staab, S.: SPLENDID: SPARQL endpoint federation exploiting VOID descriptions. In: COLD, vol. 782. CEUR (2011)
- Hogan, A., Umbrich, J., Harth, A., Cyganiak, R., Polleres, A., Decker, S.: An empirical survey of Linked Data conformance. JWS 14, 14–44 (2012) · DOI
- Janev, V., Vraneš, S.: Applicability assessment of semantic web technologies. Information Processing & Management 47(4), 507–517 (2011) · DOI
- Koloniari, G., Pitoura, E.: Content-based routing of path queries in peer-to-peer systems. In: Bertino, E., Christodoulakis, S., Plexousakis, D., Christophides, V., Koubarakis, M., Böhm, K. (eds.) EDBT 2004. LNCS, vol. 2992, pp. 29–47. Springer, Heidelberg (2004) · DOI
- Langegger, A., Wöß, W., Blöchl, M.: A Semantic Web middleware for virtual data integration on the Web. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 493–507. Springer, Heidelberg (2008) · DOI
- Morsey, M., Lehmann, J., Auer, S., Ngomo, A.-C.N.: DBpedia SPARQL benchmark – performance assessment with real queries on real data. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 454–469. Springer, Heidelberg (2011) · DOI
- Quilitz, B., Leser, U.: Querying distributed RDF data sources with SPARQL. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 524–538. Springer, Heidelberg (2008) · DOI
- Schwarte, A., Haase, P., Hose, K., Schenkel, R., Schmidt, M.: FedX: Optimization techniques for federated query processing on Linked Data. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 601–616. Springer, Heidelberg (2011) · 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
Metadata
- Authors
- Buil-Aranda, C., Hogan, A., Umbrich, J., & Vandenbussche, P.-Y.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2013
- Pages
- 277-293
- ISSN
- 0302-9743
- 1611-3349
- Cited by
- 132
- References
- 0
- Licence
- www.springer.com/tdm (tdm)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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