Event-object reasoning with curated knowledge bases: Deriving missing information

Chitta Baral, Nguyen H. Vo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationLogic Programming and Nonmonotonic Reasoning - 12th International Conference, LPNMR 2013, Proceedings
Pages161-167
Number of pages7
DOIs
StatePublished - Oct 22 2013
Event12th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2013 - Corunna, Spain
Duration: Sep 15 2013Sep 19 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8148 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2013
CountrySpain
CityCorunna
Period9/15/139/19/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Baral, C., & Vo, N. H. (2013). Event-object reasoning with curated knowledge bases: Deriving missing information. In Logic Programming and Nonmonotonic Reasoning - 12th International Conference, LPNMR 2013, Proceedings (pp. 161-167). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8148 LNAI). https://doi.org/10.1007/978-3-642-40564-8_16