An Effective Framework for Cloud Based Search Engine

Abstract

In present world, we have plenty of information around us. However, for a specific information need, only a small subset of all the available information will be useful. Over the 1970’s and 1980's, much of the research in information retrieval was focused on document retrieval, and the emphasis on this task in the Text Retrieval Conference (TREC) evaluations of the 1990’s has further reinforced the view that information retrieval is synonymous with document retrieval. Web search engines are, of course, the most common example of this type of information retrieval system. The enormous increase in the amount of online text available and the demand for access to different types of information have, however, led to a renewed interest in a broad range of information retrieval related areas that go beyond simple document retrieval, such as question answering, topic detection and tracking, summarization, multimedia retrieval (e.g., image, video and music), software engineering, chemical and biological informatics, text structuring, text mining and genomics. In this paper, Cloud Computing Based Information Retrieval (CCBIR) system is introduced for the information retrieval from the huge volume of data.