Pros And Disadvantages Of Information Retrieval

1. Introduction

Information Retrieval is the science that tries to find appropriate tools for managing and retrieving information from large collections of data. Examples of this kind of information retrieval systems are the search engines that play an important role to extract information from the Web. New Internet & American Life Project statistics show that 88% of the Americans who use the Web, use search engines to find information. Although these kinds of tools have provided a great help to the users, still these suffer from several drawbacks. Some of the disadvantages are a direct consequence of the rapid and continuous changes that are taking place in the Internet. Due to this increase of information, sometimes, search engines are unable to successfully access all of the available information and are thus unable to find relevant information for the customers. In view of all of these disadvantages, it is necessary that more powerful

Brief Literature Survey

Molinari et al.[1] proposed a technique for indexing of HTML documents. This technique is based on the assumption that tags provide the text with different levels of importance with respect to the document content. A significance degree of an index term is usually computed by assigning suitable weights to the occurring terms as per their importance.

Cutler et al.[2] proposed a method that makes use of the structures and hyperlinks of HTML documents to improve the effectiveness of retrieval process. This method partitions the occurring terms into six classes and use these to adjust the traditional term weighting scheme. According to them terms in Strong and Anchor classes are more useful for improving the retrieval effectiveness.

A. Jain et al.[3] presented an overview of pattern clustering methods based on statistical pattern recognition perspective. They present taxonomy of clustering techniques. Some important applications of clustering algorithms that include information retrieval are also