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Result integrating is a key component for keyword querying across heterogeneous databases. Once the results from various search engines are collected, the search engine merges them into a single ranked list. In this paper, firstly, we present a novel model of searching, which the database is an undirected graph and
This paper presents an attempt to show the efficiency of some search engines in dealing with Arabic keywords. This can be achieved by comparing the number of retrieved pages, retrieving time, and stability (in both the number of retrieved pages and the order for each retrieved page) for each one of the selected 20
-processing of Web search results have been extensively studied to help user effectively obtain useful information. This paper has basically three parts. First part is the review study on how the keyword is expanded through truncation or wildcards (which is a little known feature but one of the most powerful one) by using
relational database of web pages. So there are many researches focusing on the search in these relational database with keywords, compared with these researches, our algorithms are mainly based on bags using the greedy algorithms and supporting the phrase recognition by utilizing multiple dictionaries. We make a comparison
Most modern search engines feature keyword based search interfaces. These interfaces are usually found on websites belonging to enterprises or governments or sites related to news articles, blogs and social media that contain a large corpus of documents. These collections of documents are not easily indexed by web
Current search engine performances need to be improved because often the result suggested by search engine are determine the popularity of a given page for its associated keywords but does not match specific user expectations. Previous researches have indicated that only 20% to 45% of the common search results are
How to effectively locate a file in the emerging cyber, physical, and social systems is becoming a very important challenge due to the convergence of everyday life devices. A typical scenario goes like this. If you do not remember anything about a file (such as keywords or some text in the document) except some
Nowadays, Internet users are familiar with the Web searching process; and searching is the most common task performed on the Web. However, the web search is especially difficult for beginners when they try to utilize a keyword query language. Subsequently, beginners usually try to find information with ambiguous
In order to solve the limitations of most of the current search engines only through the user's handwriting input keywords to read information, described new search engine system based on computer vision. Containing the information search and problem solve two basic parts. And for the needs of the people in daily
The development of world wide web calls for how to efficiently exploit the information. Mostly, current search engines return a set of related documents which contain keywords. However, users expect the exact and concrete answer for each question. Therefore, it is necessary to build an automatic question answering
Because of ignoring the semantic information inside the keywords, the traditional searching engine based on the key words has low recall and precision. Aiming at this, some semantic retrieval system design ideas and the retrieval process are proposed in this paper.The key technologies-related in semantic retrieval
As an ever-increasing amount of information on the Web today is available through search interfaces, users have to key in a set of keywords in order to access the pages from certain Web sites, which are often referred to as the hidden Web or the deep Web. Since there is no static links to the hidden Web pages, search
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.