{'fraction_non_alphanumeric': 0.011022044088176353, 'fraction_numerical': 0.0, 'mean_word_length': 5.986013986013986, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
EFFECTIVE IMPLEMENTATION OF QUERY OPTIMIZATION THROUGH PERFORMANCE TUNING TECHNIQUES ON WEB

This study focuses on the advent of the Internet and the Web and to connect information sources across all types of boundaries where information sources include databases, XML documents, and other unstructured sources. This study highlights uniformly querying those information sources and implementing Query Optimization techniques. Since the Information is scattered in the Web, querying the sources forms the basis to improve efficiency to retrieve information which can be done through Query Optimization . In this paper, we survey the current research on fundamental problems to efficiently process queries over Web data integration systems. Optimization techniques handle different dimensions of information like volatility, heterogeneity and autonomy which form the case for information retrieval. This study outlines framework for evaluating such information through Query optimization techniques.