Multi-leg Searching by Adopting Graph-based Knowledge Representation
Abstract
This research explores the development of multi-leg searching concept by adopting graph-based knowledge representation. The research is aimed at proposing a searching concept that is capable of providing advanced information through retrieving not only direct but continuous related information from a point. It applies maximal join concept to merge multiple information networks for supporting multi-leg searching process. Node and edge similarity concept are also applied to determine transit node and alternative edges of the same route. A working prototype of flight networks domain is developed to represent the overview of the research.
Keywords
graph-based knowledge representation, graph theory, maximal join, node similarity, edge similarity
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PDFDOI: http://dx.doi.org/10.18517/ijaseit.1.2.34
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Published by INSIGHT - Indonesian Society for Knowledge and Human Development