Skip to main content

Semantic Technologies and Triplestores for Business Intelligence

  • Chapter
Business Intelligence (eBISS 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 96))

Included in the following conference series:

Summary

The Semantic Web is the next generation Web of data, which extends the current Web with means to provide well-defined meaning of information and easily find, integrate and analyze relevant information from different sources. Semantic Databases, or triplestores, play a very important role in the realization of the Semantic Web vision, since they provide the means to integrate, store and query the vast amounts of metadata generated on the Semantic Web every day. This paper presents a brief overview of the Semantic Web goals and related standards, with a special focus on the advantages, design and performance factors for triplestores. Finally, the paper provides an overview of Business Intelligence related scenarios where Semantic Technologies and triplestores in particular provide valuable advantage and differentiation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284(5), 34–43 (2001)

    Article  Google Scholar 

  2. W3C Semantic Web Working Group. Semantic Web Case Studies and Use Cases. W3C note (2010), http://www.w3.org/2001/sw/sweo/public/UseCases

  3. McBride, B., Klyne, G., Caroll, J.: Resource Description Framework (RDF): Concepts and Abstract Syntax. W3C Recommendation (2004), http://www.w3.org/TR/rdf-concepts

  4. Dean, M., Schreiber, G.: OWL Web Ontology Language Reference. W3C Recommendation (2004), http://www.w3.org/TR/owl-ref

  5. Motik, B., Grau, B., Horrocks, I., Wu, Z., Fokoue, A., Lutz, C.: OWL 2 Ontology Language Profiles. W3C Recommendation (2009) , http://www.w3.org/TR/owl2-profiles

  6. Prud’hommeaux, E., Seaborne, A.: SPARQL Query Language for RDF. W3C Recommendation (2008), http://www.w3.org/TR/rdf-sparql-query/

  7. Boley, H., Hallmark, G., Kifer, M., Paschke, A., Polleres, A., Reynolds, D.: RIF Core Dialect. W3C Recommendation (2010), http://www.w3.org/TR/rif-core/

  8. Adida, B., Birbeck, M., McCarron, S., Pemberton, S.: RDFa in XHTML: Syntax and Processing. A Collection of attributes and processing rules for extending XHTML to support RDF. W3C Recommendation (2008), http://www.w3.org/TR/rdfa-syntax/

  9. Farrel, J., Lausen, H.: Semantic Annotations for WSDL and XML Schema. W3C Recommendation (2007), http://www.w3.org/TR/sawsdl/

  10. Miles, A., Bechhofer, S.: SKOS, Simple Knowledge Organization System Reference. W3C Recommendation (2009), http://www.w3.org/TR/skos-reference/

  11. Das, S., Sundara, S., Cyganiak, R.: R2RML: RDB to RDF Mapping Language. W3C Working Draft (2011), http://www.w3.org/TR/2011/WD-r2rml-20110324/

  12. Arenas, M., Prud’hommeaux, E., Sequeda, J.: A Direct Mapping of Relational Data to RDF. W3C Working Draft (2011), http://www.w3.org/TR/2011/WD-rdb-direct-mapping-20110324/

  13. Provenance Interchange Group website, http://www.w3.org/2011/01/prov-wg-charter

  14. Beckett, D., Grant, J.: RDF Test Cases. W3C Recommendation (2004), http://www.w3.org/TR/rdf-testcases/

  15. Berners-Lee, T., Connoly, D.: Notation 3 (N3): A Readable RDF Syntax. W3C Team Submission (2011), http://www.w3.org/TeamSubmission/n3/

  16. Beckett, D.: RDF/XML Syntax Specification. W3C Recommendation (2004), http://www.w3.org/TR/rdf-syntax-grammar/

  17. Berners-Lee, T.: Design Issues: Linked Data (2006), http://www.w3.org/DesignIssues/LinkedData.html

  18. Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space. Morgan & Claypool (2011)

    Google Scholar 

  19. Moats, R.: RFC 2141: URN syntax (1997), http://tools.ietf.org/html/rfc2141

  20. Paskin, N.: The DOI handbook (2006), http://www.doi.org/handbook_2000/DOIHandbook-v4-4.1.pdf

  21. 4store website, http://4store.org/

  22. Harris, S., Lamb, N., Shadbolt, N.: 4store: The design and implementation of a clustered RDF store. In: ISWC 2009 SSWS Workshop, Washington DC (2009)

    Google Scholar 

  23. Salvadores, M., Correndo, G., Omitola, T., Gibbins, N., Harris, S., Shadbolt, N.: 4s-reasoner: RDFS Backward Chained Reasoning Support in 4store. In: Web-scale Knowledge Representation, Retrieval, and Reasoning (Web-KR3), Toronto, Canada (September 2010)

    Google Scholar 

  24. AllegroGraph website, http://www.franz.com/agraph/allegrograph/

  25. Bigdata website, http://www.systap.com/bigdata.htm

  26. Dydra website, http://dydra.com/

  27. Jena TDB website, http://www.openjena.org/TDB/

  28. Oracle Database Semantic Technologies website, http://www.oracle.com/technetwork/database/options/semantic-tech/index.html

  29. OWLIM website, http://owlim.ontotext.com/

  30. Sesame website, http://www.openrdf.org/

  31. StarDog website, http://stardog.com/

  32. Virtuoso web site, http://virtuoso.openlinksw.com/

  33. Kiryakov, A.: Measurable Targets for Scalable Reasoning. LarKC project deliverable D5.5.1 (2008), http://www.larkc.eu/wp-content/uploads/2008/07/larkc_d551.pdf

  34. Guo, Y., Pan, Z., Heflin, J.: An Evaluation of Knowledge Base Systems for Large OWL Datasets. Journal of Web Semantics 3(2), 158–182 (2004)

    Google Scholar 

  35. Bizer, C., Schultz, A.: Benchmarking the Performance of Storage Systems that expose SPARQL Endpoints. In: Proceedings of the 4th International Workshop on Scalable Semantic Web knowledge Base Systems, SSWS 2008 (2008)

    Google Scholar 

  36. Bizer, Ch., Schultz, A.: Berlin SPARQL Benchmark (BSBM) Specification, v3.0, http://www4.wiwiss.fu-berlin.de/bizer/BerlinSPARQLBenchmark/spec/index.html

  37. Schmidt, M., Hornung, T., Lausen, G., Pinkel, C.: SP2 Bench: A SPARQL Performance Benchmark. In: 24th International Conference on Data Engineering, ICDE (2008)

    Google Scholar 

  38. Linked Open Data website, http://linkeddata.org/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Dimitrov, M. (2012). Semantic Technologies and Triplestores for Business Intelligence. In: Aufaure, MA., Zimányi, E. (eds) Business Intelligence. eBISS 2011. Lecture Notes in Business Information Processing, vol 96. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27358-2_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27358-2_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27357-5

  • Online ISBN: 978-3-642-27358-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics