We propose a novel frequent approximate pattern mining that suits estimation of occurrence regions. Given a string s, our mining enumerates its substrings that locally optimally match many substrings of s. We show an algorithm for this problem in which candidate patterns are generated without duplication using the suffix tree of s. This problem can be extended to the problem of enumerating appr...

Commercial search engines, especially meta-search engines was designed to retrieve the information by submitting users’ queries to multiple conventional search engines and integrating their partial searching results generated by each search engine. How to find the best search engine for user queries is know as the selection problem of search engines. Recently, the selection problem has become a...

Query sensitive summarization aims at providing the users with the summary of the contents of single or multiple web pages based on the search query. This paper proposes a novel idea of generating a comparative summary from a set of URLs from the search result. User selects a set of web page links from the search result produced by search engine. Comparative summary of these selected web sites ...

Over the last fifteen years, web searching has seen tremendous improvements. Starting from a nearly random collection of matching pages in 1995, today, search engines tend to satisfy the user’s informational need on well-formulated queries. One of the main remaining challenges is to satisfy the users’ needs when they provide a poorly formulated query. When the pages matching the user’s original...

With the rapid growth of the Web, keyword-based searches become extremely ambiguous. To guide users to identify the results of their interest, in this paper, we consider an alternative way for presenting the results of a keyword search. In particular, we propose a framework for organizing the results into groups that contain results with similar content and refer to similar temporal characteris...

SemSearchXplorer is a toolkit for the exploration of semantic data. The goal is to lower user barriers to access information in semantic data repositories. Therefore SemSearchXplorer supports the user in three respects: (1) it supports querying of the semantic data with a keyword based approach, so the users do not need to learn a semantic query language, (2) it helps users find relevant result...

Surrogate Text Representation (STR) is a profitable solution to efficient similarity search on metric space using conventional text search engines, such as Apache Lucene. This technique is based on comparing the permutations of some reference objects in place of the original metric distance. However, the Achilles heel of STR approach is the need to reorder the result set of the search according...

The World Wide Web has huge amount of information that is retrieved using information retrieval tool like Search Engine. Page repository of Search Engine contains the web documents downloaded by the crawler. This repository contains variety of web documents from different domains. In this paper, a technique called “Retrieval of Web documents using a fuzzy hierarchical clustering” is being propo...

The performance and capabilities of Web search engines is an important and significant area of research. Millions of people world wide use Web search engines very day. This paper reports the results of a major study examining the overlap among results retrieved by multiple Web search engines for a large set of more than 10,000 queries. Previous smaller studies have discussed a lack of overlap i...

Kothari, Sarika S. M.S., Purdue University, May, 2010. Evaluating the Efficacy of Clustered Visualization in Exploratory Search Tasks. Major Professor: James Mohler. Information visualization has the potential to improve the quality of Web search results representation providing more context and novel ways to see relationships among items in a result set. The key objective of this research was ...