Membership Localization Within A Web Based Join Framework
Abstract— We propose a new type of Dictionary-based Entity recognition problem named AML (Approximate
Membership Localization). AME (Approximate Membership Extraction) provides an extraction of the truly matched
substrings in the given documents. But there are many redundancies that may cause a low efficiency of the AME process
which leads to the degradation in the performance. The AML targets at locating non-overlapped substrings. In order to
increase the efficiency the AML performance we use a new algorithm called the P-Prune algorithm.