This paper revisits the problem of indexing a text for
approximate string matching. Specifically, given a text T of
length n and a positive integer k, we want to construct an
index of T such that for any input pattern P, we can find
all its k-error matches in T efficiently. This problem is
well-studied in the internal-memory setting. Here, we extend
some of these recent results to external-memory solutions,
which are also cache-oblivious. Our first index occupies
disk pages and finds all k-error matches
with I/Os, where B denotes the number of words in a disk
page. To the best of our knowledge, this index is the first
external-memory data structure that does not require
I/Os. The second index reduces the space to
O((nlogn)/B)disk pages, and the I/O complexity is
.