Abstract
We propose a new approach to develop knowledge bases that captures at different levels of formality and specificity how each piece of knowledge in the system was derived from original sources, which are often Web sources. If a knowledge base contains a trace of information about how each piece of knowledge was defined, it will be easier to reuse, extend, and translate the contents of the knowledge base. We are investigating these issues with IKRAFT, an interactive tool to elicit from users the rationale for choices and decisions as they analyze information used in building a knowledge base. Starting from raw information sources, most of them originating on the Web, users are able to specify connections between selected portions of those sources. These connections are initially very high level and informal, and our ultimate goal is to develop a system that will help users to formalize them further.
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
Berners-Lee, T.; Hendler, J.; and Lassila, O. 2001. The Semantic Web. Scientific American 78(3):20–88.
Burstein, M., McDermott, D., Smith, D. R., Westfold, S. 2000. “Derivation of Glue Code for Agent Interoperation”. Proceedings of the International Conference on Autonomous Agents 2000. Barcelona, Spain.
Chalupsky, H. 2000. “OntoMorph: A Translation System for Symbolic Knowledge”. Proceedings of the International Conference on Knowledge Representation and Reasoning, KR-2000, Breckenridge, CO.
Cooke, N. J. 1994. “Varieties of Knowledge Elicitation Techniques”, International Journal of Human-Computer Studies, Vol. 41.
Cowie, J. and Lehnert, W. 1996. “Information Extraction”. Communications of the ACM, 39(1):80–91, Jan 1996.
Croft, W.B. 1999. “Combining Approaches to Information Retrieval,” in Advances in Information Retrieval: Recent Research from the CUR, W. Bruce Croft, Ed. Kluwer.
Fensel, D., Angele, J., and Studer, R. 1998. “The Knowledge Acquisition and Representation Language KARL”, Knowledge and Data Engineering, 10(4).
Kim J., and Gil, Y. 2000. “Acquiring Problem-Solving Knowledge from End Users: Putting Interdependency Models to the Test.” Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-2000), Austin, TX.
McGuinness, D. L., Fikes, R., Rice, J., and Wilder, S. 2000. “An Environment for Merging and Testing Large Ontologies”. Proceedings of KR-2000, Breckenridge, CO.
Radev, D. and McKeown, K. 1998. “Generating natural language summaries from multiple online sources”. Computational Linguistics, 1998.
Schreiber, G, Akkermans, H., Anjewierden, A., de Hoog, R., Shadbolt, N., Van de Velde, W., and Wielinga, B. 2000. “Knowledge Engineering and Management: The CommonKADS Methodology”. MIT Press.
Shum, S.B. 1996. Design Argumentation as Design Rationale. Encyclopedia of Computer Science and Technology (M.Dekker Inc: NY).
Stefik, M., 1995. “Introduction to Knowledge Systems”. Morgan Kaufmann.
Swan, R. and Jensen, D. 2000. “TimeMines: Constructing Timelines with Statistical Models of World Usage”, Proceedings of KDD-2000
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gil, Y., Ratnakar, V. (2002). IKRAFT: Interactive Knowledge Representation and Acquisition from Text. In: Gómez-Pérez, A., Benjamins, V.R. (eds) Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web. EKAW 2002. Lecture Notes in Computer Science(), vol 2473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45810-7_5
Download citation
DOI: https://doi.org/10.1007/3-540-45810-7_5
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44268-4
Online ISBN: 978-3-540-45810-4
eBook Packages: Springer Book Archive