Abstract
The broader goal of our research is to formulate answers to why and how questions with respect to knowledge bases, such as AURA. One issue we face when reasoning with many available knowledge bases is that at times needed information is missing. Examples of this include partially missing information about next sub-event, first sub-event, last sub-event, result of an event, input to an event, destination of an event, and raw material involved in an event. In many cases one can recover part of the missing knowledge through reasoning. In this paper we give a formal definition about how such missing information can be recovered and then give an ASP implementation of it. We then discuss the implication of this with respect to answering why and how questions.
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.
Similar content being viewed by others
References
Baral, C., Vo, N.H., Liang, S.: Answering why and how questions with respect to a frame-based knowledge base: a preliminary report. In: Technical Communications of the 28th International Conference on Logic Programming, ICLP 2012, vol. 17, pp. 26–36 (2012)
Chaudhri, V.K., Clark, P.E., Mishra, S., Pacheco, J., Spaulding, A., Tien, J.: AURA: capturing knowledge and answering questions on science textbooks. Technical report, SRI International (2009)
Getoor, L., Diehl, C.P.: Link mining: a survey. ACM SIGKDD Explorations Newsletter 7(2), 3–12 (2005)
Baral, C., Liang, S.: From knowledge represented in frame-based languages to declarative representation and reasoning via ASP. In: 13th International Conference on Principles of Knowledge Representation and Reasoning (2012)
Gelfond, M., Lifschitz, V.: The stable model semantics for logic programming. In: Kowalski, R., Bowen, K. (eds.) Logic Programming: Proc. of the Fifth Int’l Conf. and Symp., pp. 1070–1080. MIT Press (1988)
Baral, C.: Knowledge representation, reasoning and declarative problem solving. Cambridge University Press (2003)
Clark, P., Porter, B., Works, B.: KM: The knowledge machine 2.0: Users manual. Citeseer (2004)
Baral, C., Vo, N.H.: Event-object reasoning with curated knowledge bases: Deriving missing information (June 2013), http://arxiv.org/abs/1306.4411
Herzog, T.N., Scheuren, F.J., Winkler, W.E.: Data quality and record linkage techniques. Springer (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Baral, C., Vo, N.H. (2013). Event-Object Reasoning with Curated Knowledge Bases: Deriving Missing Information. In: Cabalar, P., Son, T.C. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2013. Lecture Notes in Computer Science(), vol 8148. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40564-8_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-40564-8_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40563-1
Online ISBN: 978-3-642-40564-8
eBook Packages: Computer ScienceComputer Science (R0)