Abstract
This paper deals with AI in aspect of knowledge acquisition and ontology base structure. The core of the system was designed in an object model to optimize it for further processing. Direct concept linking was used to assure fast semantic network processing. Predefined attributes used in the core minimize the number of basic connections within the ontology and help in inference. The system is assumed to generate questions and to specify the knowledge. The AI system defined in this way opens a possibility for better understanding of such basic human mind mechanisms as learning or analyzing.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dyachko A.G. (1997) Text Processing and Cognitive Technologies, Moscow, Pushchino, ONTI PNTS RAN
Włodarski Z. (1996) Psychology of learning, PWN Warszawa (in Polish)
Fuchs, N.E., Schwertel, U., Torge, S. (1999) Controlled Natural Language Can Replace First-Order Logic. 14th IEEE International Conference on Automated Software Engineering, Cocoa Beach, Florida
Landauer T. K., Littman M. L. (1990) Fully automatic cross-language document retrieval using latent semantic indexing. Sixth Annual Conference of the UW Centre for the New Oxford English Dictionary and Text Research. Waterloo Ontario: UW Centre for the New OED and Text Research 31–38
Frederking R., Mitamura T., Nyberg E., Carbonell, J. (1997) Translingual information access, AAAI Symposium on Cross-Language Text and Speech Retrieval. American Association for Artificial Intelligence
Philippe M. (2002) Knowledge representation in CGLF, CGIF, KIF, Frame-CG and Formalized-English, 10th International Conference on Conceptual Structures, Springer Verlag, LNAI 2393, pp. 77–91) Borovets, Bulgaria
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Krótkiewicz, M., Wojtkiewicz, K. (2005). Conceptual Ontological Object Knowledge Base and Language. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_25
Download citation
DOI: https://doi.org/10.1007/3-540-32390-2_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25054-8
Online ISBN: 978-3-540-32390-7
eBook Packages: EngineeringEngineering (R0)