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Web Search Engines use inverted index structures for efficient query processing. But the size of the inverted index is extremely large due to rapid growth in the size of the text data in the web. In order to reduce the index size and increase the accessing speed, compression techniques are used. In this paper, we make use of a new integer compression technique, Extended Golomb Code (EGC), to reduce the size of the inverted index. We have tested the performance of EGC with other existing techniques. Experimental results show that EGC performs better than other existing techniques in compressing inverted index.
Date of Conference: 30-31 March 2012