Skip to main content

Towards the Design of User Friendly Search Engines for Software Projects

  • Conference paper
Natural Language Processing and Information Systems (NLDB 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8455))

Abstract

Current work proposes a linguistic approach for supporting the identification of User requirements and Software Specifications. We introduce an NLP-based tool, PYTHIA, that serves as a search engine capable of handling software engineering terminology, aiming to close the loop between the end-user and the software developer. It is an ontology-based question answering system that employs semantic analysis as well as external (both generic use and domain-specific) dictionaries in order to handle term disambiguation, as posed in user defined 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. Beale, S., Lavoie, B., McShane, M., Nirenburg, S., Korelsky, T.: Question answering using ontological semantics. In: Proceedings of the 2nd Workshop on Text Meaning and Interpretation, pp. 41–48 (2004)

    Google Scholar 

  2. Damljanovic, D., Agatonovic, M., Cunningham, H.: Identification of the question focus: Combining syntactic analysis and ontology-based lookup through the user interaction. In: LREC. Citeseer (2010)

    Google Scholar 

  3. Enrico, M.V.-V., Motta, E., Domingue, J.: Aqua: An ontology-driven question answering system, Stanford University. Citeseer (2003)

    Google Scholar 

  4. Merkel, A.: Using language models in question answering (2008)

    Google Scholar 

  5. Naone, E.: Tr10: Intelligent software assistant (March-April 2009)

    Google Scholar 

  6. Sinha, S., Narayanan, S.: Model-based answer selection. In: Proceedings of the AAAI Workshop on Inference for Textual Question Answering (2005)

    Google Scholar 

  7. Unger, C., Cimiano, P.: Pythia: Compositional meaning construction for ontology-based question answering on the semantic web. In: Muñoz, R., Montoyo, A., Métais, E. (eds.) NLDB 2011. LNCS, vol. 6716, pp. 153–160. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Grigoriou, R., Symeonidis, A.L. (2014). Towards the Design of User Friendly Search Engines for Software Projects. In: Métais, E., Roche, M., Teisseire, M. (eds) Natural Language Processing and Information Systems. NLDB 2014. Lecture Notes in Computer Science, vol 8455. Springer, Cham. https://doi.org/10.1007/978-3-319-07983-7_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-07983-7_22

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07982-0

  • Online ISBN: 978-3-319-07983-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics