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The process may involve structuring the information in some appropriate way,such as classifying it
...Finally,we come to the output,which is usually a set of citations or document numbers
...IR in perspective This section is not meant to constitute an attempt at an exhaustive and complete account of the historical development of IR
...Since the emphasis in this book is on a particular approach to document representation,I shall restrict myself here to a few remarks about its history
...At this point,it may be convenient to elaborate on the use of keyword
...The use of statistical information about distributions of words in documents was further exploited by Maron and Kuhns [11]who obtained statistical associations between keywords
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entry in the list defining B and PT as equivalent stem endings if the preceding characters match
...The assumption in the context of IR is that if two words have the same underlying stem then they refer to the same concept and should be indexed as such
...It is inevitable that a processing system such as this will produce errors
...My description of the three stages has been deliberately undetailed,only the underlying mechanism has been explained
...Surprisingly,this kind of algorithm is not core limited but limited instead by its processing time
...The final output from a conflation algorithm is a set of classes,one for each stem detected
...Queries are of course treated in the same way
...Indexing An index language is the language used to describe documents and requests
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