Skip to main content

OntoVPA—An Ontology-Based Dialogue Management System for Virtual Personal Assistants

Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 510)

Abstract

Dialogue management (DM) is a difficult problem. We present OntoVPA, an Ontology-Based Dialogue Management System (DMS) for Virtual Personal Assistants (VPAs). The features of OntoVPA are offered as generic solutions to core DM problems, such as dialogue state tracking, anaphora and coreference resolution, etc. To the best of our knowledge, OntoVPA is the first commercially available, fully implemented DMS that employs ontologies and ontology-based rules for (a) domain model representation and reasoning, (b) dialogue representation and state tracking, and (c) response generation. OntoVPA is a declarative, knowledge-based system which can be customized to a new VPA domain by modifying and exchanging ontologies and rule bases, with very little to no conventional programming required.

Keywords

  • Dialogue management systems
  • Virtual Personal Assistants
  • Ontology
  • Knowledge representation and reasoning for dialogue management
  • SPARQL
  • Web Ontology Language
  • OWL
  • Description logics

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-92108-2_23
  • Chapter length: 15 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   109.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-92108-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   149.99
Price excludes VAT (USA)
Hardcover Book
USD   149.99
Price excludes VAT (USA)
Fig. 1
Fig. 2
Fig. 3
Fig. 4

References

  1. Lison P (2013) Structured probabilistic modelling for dialogue management. University of Oslo, Diss

    Google Scholar 

  2. Williams J, Raux A, Ramach D, Black A (2013) The dialog state tracking challenge. In: Proceedings of the 14th annual meeting of the special interest group on discourse and dialogue (SIGDIAL)

    Google Scholar 

  3. Mark W, The rise of virtual specialists. https://www.sri.com/blog/deep-knowledge-and-rise-virtual-specialists. Accessed 2 Aug 2017

  4. Lee C, Jung S, Kim K, Lee D, Lee GG (2010) Recent approaches to dialog management for spoken dialog systems. J Comput Sci Eng (JCSE) 4(1):122 (April 2010)

    Google Scholar 

  5. Gunning D, Chaudhri V, Clark P, Barker K, Chaw S, Greaves M, Grosof B, Leung A, McDonald D, Mishra S, Pacheco J, Porter B, Spaulding A, Tecuci D, Tien J (2010) Project halo update–progress toward digital aristotle. AI Magazine, AAAI Press (Oct 2010)

    Google Scholar 

  6. Wantroba E, Romero R (2014) A method for designing dialogue systems by using ontologies. In: Standardized knowledge representation and ontologies for robotics and automation. Chicago, USA, 18th Sept 2014

    Google Scholar 

  7. Pardal J, (2007) Dynamic use of ontologies in dialogue systems. In: Proceedings of the NAACL-HLT 2007 doctoral consortium. Association for Computational Linguistics, April 2007

    Google Scholar 

  8. Pardal J (2011) Starting to cook a coaching dialogue system in the olympus framework. In: Proceedings of the paralinguistic information and its integration in spoken dialogue systems workshop. Springer, pp 255–267

    Google Scholar 

  9. Chaudhri V, Cheyer A, Guili R, Jarrold B, Myers K, Niekarsz J (2006) A case study in engineering a knowledge base for an intelligent personal assistant. In: Proceedings of the 5th international conference on semantic desktop and social semantic collaboration

    Google Scholar 

  10. Liu G (2012) A task ontology model for domain independent dialogue management. Electronic Theses and Dissertations, University of Windsor, Paper 5412

    Google Scholar 

  11. Heinroth T, Denich D, Schmitt A, Minker W (2010) Efficient spoken dialogue domain representation and interpretation. In: Proceedings of the seventh international conference on language resources and evaluation (LREC 2010)

    Google Scholar 

  12. Ultes S, Dikme H, Minker W (2016) Dialogue management for user-centered adaptive dialogue. In Situated dialog in speech-based human-computer interaction, 2016. Springer International Publishing, pp 51–61

    Google Scholar 

  13. Sonntag D, Huber M, Möller M, Ndiaye A, Zillner S, Cavallaro A (2010) Design and implementation of a semantic dialogue system for radiologists. In: Haffner KA (eds) Semantic web: standards, tools and ontologies. Nova Science Publishers

    Google Scholar 

  14. Milward D, Beveridge M, Ontology-based dialogue systems. In: Proceedings of the 3rd workshop on knowledge and reasoning in practical dialogue systems (IJCAI 2003) (Aug 2003)

    Google Scholar 

  15. Searle JR (1969) Speech acts. An essay in the philosophy of language. Cambridge University Press, 2 Jan 1969

    Google Scholar 

  16. OWL 2 web ontology language-structural specification and functional-style syntax, 2nd edn. https://www.w3.org/TR/2012/REC-owl2-syntax-20121211/. Accessed 2 Aug 2017

  17. SPARQL 1.1 Query Language, W3C. https://www.w3.org/TR/sparql11-query/. Accessed 2 Aug 2017

  18. Apache Jena. https://jena.apache.org/. Accessed 2 Aug 2017

  19. Haarslev V, Hidde K, Möller R, Wessel M (2012) The RacerPro knowledge representation and reasoning system. Semant Web J 3(3):267–277

    Google Scholar 

  20. Protégé 5 Visual Ontology Modeling Environment. http://protege.stanford.edu/. Accessed 2 Aug 2017

  21. Schema.org. http://schema.org/. RDFs exports under. http://schema.rdfs.org/

  22. Baader F, Calvanese D, McGuinness D, Nardi D, Patel-Schneider PF (2003) The description logic handbook: theory, implementation, and applications. Cambridge University Press

    Google Scholar 

  23. Vertan C, Hahn WV (2017) Project “Spoken Dialogue Systems”, Seminar slides. https://nats-www.informatik.uni-hamburg.de/pub/DIALSYS/VeranstaltungsMaterial/DialogueManagement.pdf. Accessed 13 April 2017

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michael Wessel .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this chapter

Verify currency and authenticity via CrossMark

Cite this chapter

Wessel, M., Acharya, G., Carpenter, J., Yin, M. (2019). OntoVPA—An Ontology-Based Dialogue Management System for Virtual Personal Assistants. In: Eskenazi, M., Devillers, L., Mariani, J. (eds) Advanced Social Interaction with Agents . Lecture Notes in Electrical Engineering, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-319-92108-2_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-92108-2_23

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92107-5

  • Online ISBN: 978-3-319-92108-2

  • eBook Packages: EngineeringEngineering (R0)