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Indexing

The basis of modern full text search technologies is represented by two fundamental processes. First of all, they are indexing of available information and processing queries with subsequent display of results. As regards indexing, any information retrieval application (be it a desktop full text search system, a corporate informational system or an Internet search engine) creates its own search area. In other words, it processes documents and creates an index of these documents (an organized structure that contains information on processed data). This very index is further used in the work of the search engine for a quick production of a list of required documents according to the query. The rest of the process is not that simple in terms of technology, but is quite simple to understand by a common user. The information retrieval application processes the query (by the key word-phrase) and displays the list of documents that contain this key phrase. Since the information is stored in a structured index, the query is processed much (dozens and hundreds times!) faster than in the case with direct search (the selection of documents is based on the analysis of textual information in the index rather than on browsing through every file).

The full text search application displays the found documents in the resulting list on the relevance basis, i.e., the conformity of the document to the query text. Various search technologies, undoubtedly, comprise various methods of searching and determining the relevance of the document (the number of key word "inclusions" and the frequency of mentioning it in the document, the ratio of these parameters to the general number of words in the document, the distance between the words of the query phrase in the files, and so on). These parameters serve as the basis for determining the "weight" of the document and, depending on this weight, the file ends up in the list of results in a certain position. In case of Internet-search the matter is even more complicated. After all, in this case many other factors have to be taken into account (for example, Page Rank Google). However, this is the subject of a separate article; therefore we will leave the Internet alone for the time being.

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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