Many physiology and bioinformatics research institutions and websites have opened their\nown data analysis services and other relatedWeb services. It is therefore very important to be able\nto quickly and effectively select and extract features from theWeb service pages to learn about and\nuse these services. This facilitates the automatic discovery and recognition of Representational State\nTransfer or RESTful services. However, this task is still challenging. Following the description feature\npattern of a RESTful service, the authors proposed a Feature Pattern Search and Replace (FPSR)\nmethod. First, they applied a regular expression to perform a matching lookup. Then, a custom string\nwas used to substitute the relevant feature pattern to avoid the segmentation of its feature pattern and\nthe loss of its feature information during the segmentation process. Experimental results showed in\nthe visualization that FPSR obtained a clearer and more obvious boundary with fewer overlaps than\nthe test without using FPSR, thereby enabling a higher accuracy rate. Therefore, FPSR allowed the\nauthors to extract RESTful service page feature information and achieve better classification results.
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