Skip to main content

Knowing and/or Believing a Think: Deriving Knowledge Using RDF CFL

  • Conference paper
  • First Online:
Applied Physics, System Science and Computers III (APSAC 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 574 ))

  • 432 Accesses

Abstract

From the web discussion on a difference between knowing and believing, we have chosen in this paper the statements fulfilling enough our seeing the topic, corresponding to our knowledge level of cognitive science. The aim of paper shows one of the capabilities of our Resource Description Framework Clausal Form Logic (RDF CFL) graph language using as an example a well- known Castaněda’s puzzle. RDF CFL is an appropriate tool that contains a package of inference methods working especially in closed-worlds that have been developed in the clausal form of first order predicate logics.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Žáček, M., Lukasová,A.: Making a shift from believing to knowing by the help of RDF CFL formal representation. In: 2nd International Conference on Applied Physics, System Science and Computers, APSAC2017, Lecture Notes in Electrical Engineering, vol. 489, pp. 148–155 (2019). https://doi.org/10.1007/978-3-319-75605-9_21

  2. Lukasová, A., Žáček, M., Vajgl, M.: Carstairs-mccarthy’s morphological rules of english language in RDFCFL graphs. In: International Conference on Applied Physics, System Science and Computers, APSAC 2016, Lecture Notes in Electrical Engineering, Springer Verlag. https://doi.org/10.1007/978-3-319-53934-8_20

  3. Lukasová, A., Žáček, M.: English grammatical rules representation by a meta-language based on RDF model and predicate clausal form. Information (Japan), 19(9B), ISSN: 13434500 (International Information Institute Ltd.) 4009–4015

    Google Scholar 

  4. Lukasová, A., Žáček, M., Vajgl, M.: Reasoning in Graph-based Clausal Form Logic. IJCSI Int. J. Comp. Sci. Issues 9(1), 37–43 (2012). No. 3. ISSN (Online) 1694–0814

    Google Scholar 

  5. Castaněda,H.N.: Philosofhy as a Scienceand as a Worldview. In: Cohen, A. Dascal, M. (eds.), The Institution of Philosophy Open Court, Peru, IL (1989)

    Google Scholar 

  6. Shapiro, S.C., Rapaport, W.J.: Models and Minds. Knowledge Representation for Natural-Language Competence

    Google Scholar 

  7. Miarka, R., Zacek, M.: Knowledge patterns in RDF graph language for English sentences. In: Federated Conference on Computer Science and Information Systems, FedCSIS, pp. 109–115 (2012)

    Google Scholar 

  8. Miarka, R., Žáček, M.: Knowledge patterns for conversion of sentences in natural language into RDF graph language. In: Federated Conference on Computer Science and Information Systems, FedCSIS, pp. 63–68 (2011)

    Google Scholar 

  9. Žáček, M., Lukasová, A., Miarka, R.: Modeling knowledge base and derivation without pre-defined structure by Graph-based Clausal Form Logic. In: Proceedings of the 2013 International Conference on Advanced ICT and Education. France: Atlantis Press: AISR, pp. 546–549. ISBN 978-90786-77-79-6 (2013)

    Google Scholar 

  10. Telnarova, Z., Rombová, Z.: Data modelling and ontological semantics. In: T.E. Simons et al. (eds.) AIP Conference Proceedings, vol. 1648 American Institute of Physics, Melville, NY (2015), 1648. https://doi.org/10.1063/1.4912763

  11. Shapiro, S.C., Rapaport, W.J.: The SNePS family. Comput.Math. Appli. 23, 243–275. 1192

    Google Scholar 

  12. Manisha, K.: Difference between Knowing and Believing. In: DifferenceBetween.net, 10 January 2010. http://www.differencebetween.net/miscellaneous/difference-between-knowing-and-believing/

  13. lukasová, a., vajgl, m., žáček, M.: Knowledge represented using RDF semantic network in the concept of semantic web. In: Simos, T.E. et al. (eds.) International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015, AIP Conference Proceedings, vol. 1738, p. 120012. American Institute of Physics, Melville, NY (2015). https://doi.org/10.1063/1.4951895

  14. Žáček, M., Miarka, R., Sýkora, O.: Visualization of semantic data. In: Silhavy, R. et al. (eds.), pp. 277–285. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-18476-0_28

  15. Žáček, M.: Ontology or formal ontology. In: Simons, T.E. et al. (eds.) AIP Conference Proceedings, vol. 1863. American Institute of Physics, Melville, NY (2017). http://doi.org/186310.1063/1.4992234

  16. Žáček, M., Homola, D.: Analysis of the english morphology by semantic networks. In: Simons, T.E. et al. (eds.) AIP Conference Proceedings, vol. 1906. American Institute of Physics, Melville, NY (2017). http://doi.org/190610.1063/1.5012351

  17. Vajgl, M., Lukasová, A., Žáček, M.: Knowledge bases built on web languages from the point of view of predicate logics. In: Ntalianis, K. (ed.) AIP Conference Proceedings, vol. 1836. American Institute of Physics, Melville, NY (2017). https://doi.org/10.1063/1.4981998

  18. Žáček, M., Lukasová, A.: Making a shift from believing to knowing by the help of RDF CFL formal representation. In: International Conference on: Applied Physics, System Science and Computers. https://doi.org/10.1007/978-3-319-75605-9_21

Download references

Acknowledgments

The research described here has been financially supported by University of Ostrava grant SGS06/PřF/2018. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not reflect the views of the sponsors.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Martin Žáček .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Žáček, M., Lukasová, A., Raunigr, P. (2019). Knowing and/or Believing a Think: Deriving Knowledge Using RDF CFL. In: Ntalianis, K., Vachtsevanos, G., Borne, P., Croitoru, A. (eds) Applied Physics, System Science and Computers III. APSAC 2018. Lecture Notes in Electrical Engineering, vol 574 . Springer, Cham. https://doi.org/10.1007/978-3-030-21507-1_10

Download citation

Publish with us

Policies and ethics