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Now-a-days all most all areas of life uses internet and search engines for getting relevant and useful information about various topics. Large index data bases are to be used in automatic document search and retrieval from large document collections. Term weighting schemes are very good in identifying and selecting good indexing terms. But it is possible to generate more efficient indexing terms using...
General purpose search engines provide users with lists of retrieved documents in response to their queries. The common structure of list elements includes the title of a document, its URL, and small snippet from the text. Snippets are evidence of occurrences of query's keywords in the document. The length of each snippet is just a couple of lines. They cannot play a role of summaries of retrieved...
Web is a valuable source of information and it is expanding at an enormous speed. Search engines provide the interface to access to this vast pool of information. Users express their information need through the input query to retrieve the relevant information which does not prove to be effective as input query entered by the user is too short to get the information need of the user. To retrieve the...
Many search engines are term-based information retrieval models. The disadvantage of this type of model is that it does not consider word sense. If we can represent the meanings of the terms that a user inputs, the IR system can retrieve the information the user really wants; not simply match the terms. To represent word sense, we proposed conceptual fuzzy sets (CFSs). A CFS is a framework that represents...
Often document dissemination is limited to a "need to know" basis so as to better maintain organizational trade secrets. Retrieving documents that are off-topic to a user's predefined area of information need (task) via a search engine is potentially a violation of access rights and is a concern to every private, commercial, and governmental organization. Such misuse, defined as "off-topic...
Retrieving documents that are off-topic to an authorized user's pre-defined area of interest via a search engine is potentially a violation of access rights, commonly referred to as misuse, and is a concern to every private, commercial, and governmental organization. In this preliminary study, we improve previous content-based misuse detection approaches by using a sequence of queries versus only...
This paper examines how the concepts of dimensional data warehouses can be applied to document retrieval and storage. It then shows how the specifics of dimensional document warehouses differ from dimensional data warehouse and how these differences make it impractical to use existing engines for building and analyzing data cubes (such as SQL server's analysis manager) in order to build and analyze...
In this article we propose a peer to peer system able to permit a collaborative information exchange between public administrations. The system acts as a peer to peer network for document retrieval but in every single peer of network there is a search engine capable to index documents and able to share index information with other members
A neural based multi-agent system for smart HTML page retrieval is presented. The system is based on the EalphaNet architecture, a neural network capable of learning the activation function of its hidden units and having good generalization capabilities. System goal is to retrieve documents satisfying a query and dealing with a specific topic. The system has been developed using the basic features...
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