Title
Answering queries that may have results in the future: A case study in food science
Abstract
This paper presents a method to represent the evolution of objects during their life cycle, using a logic- and graph-based knowledge representation model. An extension is proposed in order to answer “prospective queries,” concerning the achievement, in the future, of the searched piece of knowledge. A case study in the field of cereal transformation illustrates the proposed approach.
Year
DOI
Venue
2010
10.1016/j.knosys.2010.02.001
Knowledge-Based Systems
Keywords
Field
DocType
Knowledge representation,Query answering,Conceptual graphs
Data mining,Graph,Knowledge representation and reasoning,Information retrieval,Computer science
Journal
Volume
Issue
ISSN
23
5
0950-7051
Citations 
PageRank 
References 
6
0.46
2
Authors
4
Name
Order
Citations
PageRank
Rallou Thomopoulos113721.26
Jean-Rémi Bourguet2263.72
Bernard Cuq360.80
Amadou Ndiaye4154.03