  In the current Named Data Networking implementation, forwarding a data
request requires finding an exact match between the prefix of the name carried
in the request and a forwarding table entry. However, consumers may not always
know the exact naming, or an exact prefix, of their desired data. The current
approach to this problem-establishing naming conventions and performing name
lookup-can be infeasible in highly ad hoc, heterogeneous, and dynamic
environments: the same data can be named using different terms or even
languages, naming conventions may be minimal if they exist at all, and name
lookups can be costly. In this paper, we present a fuzzy Interest forwarding
approach that exploits semantic similarities between the names carried in
Interest packets and the names of potentially matching data in CS and entries
in FIB. We describe the fuzzy Interest forwarding approach, outline the
semantic understanding function that determines the name matching, and present
our simulation study along with extended evaluation results.
