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Index, query, relevancy

Modern search technologies are based on two processes: indexing of available information, query processing and a following output of results. Speaking of the former, any program (whether it’s a desktop search engine, a corporate information system, or an internet-search engine) creates its own search domain. That is, processes documents and forms their index (organized structure that contains information on processed data). Afterwards this created index will be used for in processing the query. What follows might not be at all simple technology-wise, but it doesn’t present any complexity to the average user. Then the program processes the query (by the keyword or phrase) and shows a list of documents that contain this key phrase. Since the information is stored in the structured index, the query processing takes much less time (up to hundred times faster) than if it was the straight search (the document selection is conducted not through file overlooking, but through analyzing the text data in the index).

The program shows a list of results in the order of relevancy (the level of correspondence to the query text). Different technologies, obviously, use different methods of search and relevancy determining (number of word inputs, usage frequency, the ratio of the query to the number of words in the document, the intervals between the words of the query phrase in the searched files, etc.). Based on those criteria the “weight” of the document is determinted, and depending on it the file takes a certain position in the list of results. When dealing with Internet search everything gets complicated, since a lot of other factors are to be considered (Page Rank Google is an example). But that’s the topic for a whole other article, so let’s not touch Internet

  

  

Ms access full text search. As you know some times attributes filed search don't give us satisfied results. For example we don't know which fields we need to use for search, in that case there is only one way - ms access full text search. But ms access standard bundling has no ms access full text search ability. SearchInform allows you to expand ability of ms access by adding ms access full text search ability. Try SearchInform and you will be able to see as ms access full text search ability produced by SearchInform to help you. Try ms access full text search from SearchInform!



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The SearchInform Full Text Search Engine System is easily integrated into the informational structure of an enterprise connecting to various data sources and having a client-server architecture. Deploying Full Text Search Engine SearchInform won't require changing the existing business processes and will allow the company to save the efforts it has invested into the already existing informational infrastructure. At the same time the Full Text Search Engine system combines isolated corporate Full Text Search Engine applications and data into a single information system, thus resulting in a more efficient solution to business tasks.


November 21 SearchInform Technologies Inc. and “SOFTPROM” company will be holding a presentation titled “SearchInform Full Text Search Technology” that will take place in “Nest” business center located in Urickogo street, 45, Kiev.
The presentation will deal with the problems of organizing search in corporate information networks and online. Implementing search technologies to solve an enterprise’s information security problems will also be among the discussed issues. Detailed...
November 3 2006.
SearchInform Technologies Inc. introduces a new version of SearchInform 3.1, a program of full text search and search for documents similar in their content, featuring new interface settings as well as an enhanced and a modified functional. Detailed...
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