Abstract
It is widely accepted that proper data publishing is difficult. The majority of Linked Open Data (LOD) does not meet even a core set of data publishing guidelines. Moreover, datasets that are clean at creation, can get stains over time. As a result, the LOD cloud now contains a high level of dirty data that is difficult for humans to clean and for machines to process.
Existing solutions for cleaning data (standards, guidelines, tools) are targeted towards human data creators, who can (and do) choose not to use them. This paper presents the LOD Laundromat which removes stains from data without any human intervention. This fully automated approach is able to make very large amounts of LOD more easily available for further processing right now.
LOD Laundromat is not a new dataset, but rather a uniform point of entry to a collection of cleaned siblings of existing datasets. It provides researchers and application developers a wealth of data that is guaranteed to conform to a specified set of best practices, thereby greatly improving the chance of data actually being (re)used.
Chapter PDF
Similar content being viewed by others
References
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a Collaboratively Created Graph Database for Structuring Human Knowledge. In: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, pp. 1247–1250. ACM (2008)
Callahan, A., Cruz-Toledo, J., Ansell, P., Dumontier, M.: Bio2RDF Release 2: Improved Coverage, Interoperability and Provenance of Life Science Linked Data. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds.) ESWC 2013. LNCS, vol. 7882, pp. 200–212. Springer, Heidelberg (2013)
Ermilov, I., Martin, M., Lehmann, J., Auer, S.: Linked Open Data Statistics: Collection and Exploitation. In: Klinov, P., Mouromtsev, D. (eds.) KESW 2013. Communications in Computer and Information Science, vol. 394, pp. 242–249. Springer, Heidelberg (2013)
Hogan, A., Harth, A., Passant, A., Decker, S., Polleres, A.: Weaving the pedantic web. In: Linked Data on the Web Workshop (2010)
Hogan, A., Umbrich, J., Harth, A., Cyganiak, R., Polleres, A., Decker, S.: An Empirical Survey of Linked Data Conformance. Web Semantics: Science, Services and Agents on the World Wide Web 14, 14–44 (2012)
Käfer, T., Abdelrahman, A., Umbrich, J., O’Byrne, P., Hogan, A.: Observing Linked Data Dynamics. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds.) ESWC 2013. LNCS, vol. 7882, pp. 213–227. Springer, Heidelberg (2013)
Olston, C., Reed, B., Srivastava, U., Kumar, R., Tomkins, A.: Pig latin: A not-so-foreign language for data processing. In: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, pp. 1099–1110. ACM (2008)
Oren, E., Delbru, R., Catasta, M., Cyganiak, R., Stenzhorn, H., Tummarello, G.: Sindice.com: a Document-Oriented Lookup Index for Open Linked Data. International Journal of Metadata, Semantics and Ontologies 3(1), 37–52 (2008)
Stadtmüller, S., Harth, A., Grobelnik, M.: Accessing Information about Linked Data Vocabularies with vocab.cc. In: Semantic Web and Web Science, pp. 391–396. Springer (2013)
Tummarello, G., Cyganiak, R., Catasta, M., Danielczyk, S., Delbru, R., Decker, S.: Sigma: Live Views on the Web of Data. Web Semantics: Science, Services and Agents on the World Wide Web 8(4), 355–364 (2010)
Wielemaker, J.: SWI-Prolog Semantic Web Library 3.0, http://prolog.cs.vu.nl/download/doc/semweb.pdf
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Beek, W., Rietveld, L., Bazoobandi, H.R., Wielemaker, J., Schlobach, S. (2014). LOD Laundromat: A Uniform Way of Publishing Other People’s Dirty Data. In: Mika, P., et al. The Semantic Web – ISWC 2014. ISWC 2014. Lecture Notes in Computer Science, vol 8796. Springer, Cham. https://doi.org/10.1007/978-3-319-11964-9_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-11964-9_14
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11963-2
Online ISBN: 978-3-319-11964-9
eBook Packages: Computer ScienceComputer Science (R0)