Skip to main content
SpringerLink
Log in

Hybrid Technique for Effective Knowledge Representation

  • Conference paper
Book cover Advances in Computing and Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 178))

  • 2333 Accesses

Abstract

Knowledge representation and inference mechanism are most desirable thing to make the system intelligent. System is known to an intelligent if its intelligence is equivalent to the intelligence of human being for a particular domain or general. Because of incomplete ambiguous and uncertain information the task of making intelligent system is very difficult. The objective of this paper is to present the knowledge base system architecture integrated with hybrid knowledge representation technique for making the system effective.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
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. Sowa, J.F.: Encyclopedia of Artificial Intelligence, 2nd edn. Wiley (1992)

    Google Scholar 

  2. Rich, E., Knight, K.: Artificial Intelligence, 2nd edn. McGraw-Hill (1991)

    Google Scholar 

  3. Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 3rd edn. Prentice Hall (2009)

    Google Scholar 

  4. Davis, R., Shrobe, H., Szolovits, P.: What is a Knowledge Representation? AI Magazine 14(1), 17–33 (1993)

    Google Scholar 

  5. Brachman, R., Levesque, H. (eds.): Readings in Knowledge Representation. Morgan Kaufman (1985)

    Google Scholar 

  6. Stillings, L.: Knowledge Representation, Ch. 4 and 5 (1994), http://www.acm.org/crossroads/.www.hbcse.tifr.res.in/jrmcont/notespart1/node28.html

  7. Houben, G.J.P.M.: Knowledge representation and reasoning. Dutch Research Database (Period 01/2002)

    Google Scholar 

  8. Frost, R.A.: A Method of Facilitating the Interface of Knowledge Base System Components. Computer Journal 28(2), 112–116 (1985)

    Article  MathSciNet  Google Scholar 

  9. Sharif, A.M.: Knowledge representation within information systems in manufacturing environments. Brunel University Research Archive (2004)

    Google Scholar 

  10. Brewster, C., O’Hara, K., Fuller, S., Wilks, Y., Franconi, E., Musen, M.A., Ellman, J., Buckingham Shum, S.: Knowledge representation with ontologies: the present and future. IEEE Intelligent Systems, 72–81 (2004) ISSN 1541-1672

    Google Scholar 

  11. Allen, J., Ferguson, G., Gildea, D., Kautz, H., Schubert, L.: Artificial Intelligence, Natural Language Understanding, and Knowledge Representation and Reasoning, 2nd edn. Benjamin Cummings (1994)

    Google Scholar 

  12. Ali, S.S., Iwanska, L.: Knowledge representation for natural language processing in implemented system. Natural Language Engineering 3, 97–101(1997)

    Google Scholar 

  13. Morgenstern, L.: Knowledge Representation. Columbia University (1999), http://wwwformal.stanford.edu/leora/krcourse/

  14. Reichgelt, H.: Knowledge Representation: An AI Perspective, Chapter 5 (Semantic Networks) and Chapter 6 (Frames)

    Google Scholar 

  15. van Harmelen, F.: Knowledge Representation and Reasoning. Vrije Universitetit Amsterdam, http://www.cs.vu.nl/en/sec/ai/kr

  16. Kuechler Jr., W.L., Lim, N., Vaishnavi, V.K.: A smart object approach to hybrid knowledge representation and reasoning strategies. In: Hawaii International Conference on System Sciences, HICSS 1995 (1995)

    Google Scholar 

  17. Shetty, R.T.N., Riccio, P.-M., Quinqueton, J.: Hybrid Model for Knowledge Representation. In: 2006 International Conference on, vol. 1, pp. 355–361 (2006)

    Google Scholar 

  18. Chi, X., Haojun, M., Zhen, Z., Yinghong, P.: Research on hybrid expert system application to blanking technology, National Die and Mold CAD Engineering Research Center. Shanghai Jiao Tong University, Shanghai 200030, PR China (1999)

    Google Scholar 

  19. Quesgen, W., Junker, U., Voss, A.: Constraints in Hybrid Knowledge Representation System. Expert Systems Research Group, F.R.G., http://dli.iiit.ac.in/ijcai/IJCAI-87-VOL1/PDF/006.pdf

  20. Rathke, C.: Object-oriented programming and frame-based knowledge representation. In: 5th International Conference, Boston (1993)

    Google Scholar 

  21. Hendrix, G.G.: Expanding the Utility of Semantic Networks through Partitioning. In: Artificial Intelligence Center, Stanford Research institute Menlo Park, California 94025

    Google Scholar 

  22. Lehmann, F.: Semantic networks, Parsons Avenue, Webster Groves, Missouri, U.S.A.

    Google Scholar 

  23. Gow, J.: Lecture notes, Imperial College, London, http://www.doc.ic.ac.uk/~sgc/teaching/v231/lecture4.ppt

  24. Lee, T.B.: Chapter on “Semantic web road map” (1998), http://www.w3.org

  25. Khatib, W.: Semantic modeling and knowledge representation in Multimedia (1999), http://ieeeexlore.ieee.org

  26. Lecture notes, http://www.cs.odu.edu/~toida/nerzic/content/logic/pred_logic/inference/infer_intro

  27. Presentation on “Knowledge representation”, http://www.doc.ic.ac.uk/~sgc/teaching/v231/lecture4.ppt

  28. Presentation on “Knowledge representation techniques”, http://www.scribd.com/doc/6141974/semantic-networks-standardisation

  29. Web document on “Predicate logic history”, http://www.cs.bham.ac.uk/research/projects/poplog/thought/chap6/node5.html

  30. Web document on “Introduction to Universal semantic net”, http://sempl.net/

  31. Lecture notes on “knowledge representation misc psychology and languages for knowledge representation”, http://misc.thefull-wiki.org/Knowledge_representation

  32. Lecture notes on frame knowledge representation technique, http://userweb.cs.utexas.edu/users/qr/algy/algy-expsys/node6.html

  33. Presentation on “Knowledge representation using structured objects”, http://www.freshtea.files.wordpress.com/2009/../5-knowledge-representation.ppt

  34. Jeng, S.-K.: Lecture notes on “Knowledge representation”, http://www.cc.ee.ntu.edu.tw/~skjeng/Representation.ppt

  35. Presentation on “Knowledge representation and rule based systems”, http://www.arun555mahara.files.wordpress.com/2010/02/knowledge-representation.ppt

  36. Presentation on “Various knowledge representation techniques”, http://www.ee.pdx.edu/~mperkows/CLASS_ROBOTICS/FEBR,19/019.representa.ppt

  37. PPT and lecture notes, http://people.dbmi.columbia.edu/homepages/wandong/KR/krglossary.html

  38. Tanwar, P., Prasad, T.V., Aswal, M.S.: Comparative Study of Three Declarative Knowledge Representation Techniques. International Journal on Computer Science and Engineering 02(07), 2274–2281 (2010)

    Google Scholar 

  39. Tanwar, P., Prasad, T.V., Datta, K.: An Effective Knowledge base system Architecture and issues in representation techniques. International Journal of Advancements in Technology, http://ijict.org/ , ISSN 0976-4860

  40. Lecturer notes on Knowledge Representation, http://www.scribd.com/doc/13599253/Knowledge-Representation

Download references

Author information

Authors and Affiliations

  1. Dept. of CSE, Lingaya’s University, Faridabad, Haryana, India

    Poonam Tanwar

  2. Uttarakhand Technical University, Dehradun, Uttarakhand, India

    Poonam Tanwar

  3. Lingaya’s University, Faridabad, Haryana, India

    T. V. Prasad

  4. National Institute of Technology, Hamirpur, Himachal Pradesh, India

    Kamlesh Datta

Authors
  1. Poonam Tanwar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. T. V. Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kamlesh Datta
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. , Department of Computer Science, Jackson State University, John R. Lynch Street 1400, Jackson, 39217, Mississippi, USA

    Natarajan Meghanathan

  2. Wireilla Net Solutions PTY ltd, Merlow Street 3, Melbourne, 3207, Australia

    Dhinaharan Nagamalai

  3. , Department of Computer Science & Eng., University of Calcutta, Calcutta, 700 073, India

    Nabendu Chaki

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tanwar, P., Prasad, T.V., Datta, K. (2013). Hybrid Technique for Effective Knowledge Representation. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31600-5_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31600-5_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31599-2

  • Online ISBN: 978-3-642-31600-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation