Skip to main content

An RDF-Based Semantic Index

  • Conference paper
Natural Language Processing and Information Systems (NLDB 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7934))

Abstract

Managing efficiently and effectively very large amount of digital documents requires the definition of novel indexes able to capture and express documents’ semantics. In this work, we propose a novel semantic indexing technique particularly suitable for knowledge management applications. Algorithms and data structures are presented and preliminary experiments are reported, showing the efficiency and effectiveness of the proposed index for semantic queries.

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. Mihalcea, R., Moldovan, D.: Semantic indexing using wordnet senses. In: Proceedings of the ACL Workshop on IR and NLP, Hong Kong (2000)

    Google Scholar 

  2. Stein, J.: Alternative methods of indexing legal material: Development of a conceptual index. In: Conference Law Via the Internet 1997, Sydney, Australia (1997)

    Google Scholar 

  3. Amato, F., Fasolino, A., Mazzeo, A., Moscato, V., Picariello, A., Romano, S., Tramontana, P.: Ensuring semantic interoperability for e-health applications. In: 2011 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pp. 315–320. IEEE (2011)

    Google Scholar 

  4. Woods, W.: Conceptual indexing: A better way to organize knowledge (1997)

    Google Scholar 

  5. Mihalcea, R., Moldovan, D.: An iterative approach to word sense disambiguation. In: Proceedings of FLAIRS, pp. 219–223 (2000)

    Google Scholar 

  6. Mihalcea, R., Moldovan, D.: Semantic indexing using wordnet senses. In: Proceedings of the ACL 2000 Workshop on Recent Advances in Natural Language Processing and Information Retrieval, Association for Computational Linguistics, pp. 35–45 (2000)

    Google Scholar 

  7. Stokoe, C.: Differentiating homonymy and polysemy in information retrieval. In: Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing, pp. 403–410 (2005)

    Google Scholar 

  8. Gonzalo, J., Verdejo, F., Chugur, I., Cigarran, J.: Indexing with wordnet synsets can improve text retrieval. arXiv preprint cmp-lg/9808002 (1998)

    Google Scholar 

  9. D’Acierno, A., Moscato, V., Persia, F., Picariello, A., Penta, A.: iwin: A summarizer system based on a semantic analysis of web documents. In: 2012 IEEE Sixth International Conference on Semantic Computing (ICSC), pp. 162–169 (2012)

    Google Scholar 

  10. Hirst, G., Mohammad, S.: Semantic distance measures with distributional profiles of coarse-grained concepts. In: Modeling, Learning and Processing of Text Technological Data S. (2012)

    Google Scholar 

  11. Leacock, C., Chodorow, M.: Combining local context and wordnet similarity for word sense identification. WordNet: An Electronic Lexical Database 49, 265–283 (1998)

    Google Scholar 

  12. Mandreoli, F., Martoglia, R.: Knowledge-based sense disambiguation (almost) for all structures. Information Systems 36, 406–430 (2011)

    Article  Google Scholar 

  13. Samet, H.: The design and analysis of spatial data structures, vol. 85. Addison-Wesley, Reading (1990)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Amato, F., Gargiulo, F., Mazzeo, A., Moscato, V., Picariello, A. (2013). An RDF-Based Semantic Index. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2013. Lecture Notes in Computer Science, vol 7934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38824-8_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38824-8_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38823-1

  • Online ISBN: 978-3-642-38824-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics