Abstract
This paper discusses methods for improving the usual keyword based retrieval from information resources. Common to these methods is the use of lattices to structure the conceptual content of the information resources. The first method discussed relies on construction of ontology by a human being acquainted with a considered knowledge domain. The second approach constructs a formal concept lattice by algorithmic analysis of keyword patterns in the text.
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
T. Bräuner, J. Fischer Nilsson, and A. Rasmussen: Conceptual Graphs as Algebras — with an Application to Analogical Reasoning, in Proceedings of the 7th Int. Conf. on Conceptual Structures, Blacksburg, Virginia, July 1999, W. Tepfenhart and W. Cyre (eds.), Lecture Notes in Artificial Intelligence LNAI 1640, Springer, 1999.
C. Brink, K. Britz, and R.A. Schmidt: Peirce Algebras, Formal Aspects of Computing, Vol. 6, 1994, pp. 339–358.
W. R. Cook, Interfaces and Specifications for the Smalltalk-80 Collection Classes, Proc. of OOPSLA’92, ACM Press, 1992, pp. 1–15.
Davey, B. A., and Priestley, H. A., Introduction to Lattices and Order, Cambridge University Press, 1990.
D.W. Embley, D.M. Campbell, Y.S. Jiang, S.W. Liddle, D.W. Lonsdale, Y.-K. Ng, R.D. Smith: Conceptual-model-based data extraction from multiple-record Web pages, Data & Knowledge Engineering, 31 (1999), pp. 227–251.
B. Ganter, Two Basic Algorithms in Concept Analysis (Preprint 831), Darmstadt: Technische Hochschule, 1984
B. Ganter and R. Wille, Formal Concept Analysis, Mathematical Foundations, Springer, 1999.
B. Ganter and R. Wille, Contextual Attribute Logic, in Proceedings of the 7th Int. Conf. on Conceptual Structures, Blacksburg, Virginia, July 1999, W. Tepfenhart and W. Cyre (eds.), Lecture Notes in Artificial Intelligence LNAI 1640, Springer, 1999.
R. Godin, R. Missaoui and A. April, Experimental comparison of navigation in a Galois lattice with conventional information retrieval methods, Int. J. Man-Machine Studies, 1993, (38) pp. 747–767.
R. Godin, R. Missaoui and H. Alaoui, Learning Algorithms Using a Galois Lattice Structure, Proc. of the Third Int. Conference on Tools for Artificial Intelligence, IEEE Computer Society Press, CA, 1991, pp. 22–29.
R. Godin and H. Mili, Building and Maintaining Analysis-Level Class Hierarchies Using Galois Lattices, Proc. of OOPSLA’93, ACM Press, 1993, pp. 395–410.
H-M. Haav, An Object Classifier Based on Galois Approach: H. Kangassalo, J. F. Nilsson, H. Jaakkola, S. Ohsuga, Information Modelling and Knowledge Bases VIII, IOS Press, 1997, pp. 309–321.
H. L. Larsen and J. F. Nilsson, Fuzzy Querying in a Concept Object Algebraic Datamodel, in: T. Andreasen, H. Christiansen, H. L. Larsen (Eds), Flexible Query Answering Systems, Kluwer Academic Publishers, 1997, pp. 123–140.
J. F. Nilsson, An Algebraic Logic for Concept Structures, Information Modelling and Knowledge Bases V, IOS Press, Amsterdam, 1994, pp. 75–84.
J. Fischer Nilsson, A Conceptual Space Logic, 1999, in E. Kawaguchi et al. (eds.): Information Modeling and Knowledge Bases XI, IOS Press, Amsterdam, 2000.
J. F. Nilsson and H-M. Haav, Inducing Queries from Examples as Concept Formation, Information Modelling and Knowledge Bases X, H. Jaakkola et al. (eds), IOS Press, 1999.
OntoQuery Project, www.ontoquery.dk
J.F. Sowa, Knowledge Representation, Logical, Philosophical, and Computational Foundations, Brooks/Cole Thomson Learning, 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Kluwer Academic Publishers
About this chapter
Cite this chapter
Haav, HM., Nilsson, J.F. (2002). Approaches to Concept Based Exploration of Information Resources. In: Abramowicz, W., Zurada, J. (eds) Knowledge Discovery for Business Information Systems. The International Series in Engineering and Computer Science, vol 600. Springer, Boston, MA. https://doi.org/10.1007/0-306-46991-X_4
Download citation
DOI: https://doi.org/10.1007/0-306-46991-X_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-7923-7243-1
Online ISBN: 978-0-306-46991-6
eBook Packages: Springer Book Archive