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Information retrieval

Information retrieval

Information retrieval

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Information retrieval (IR) in computing and information science is the task of identifying and retrieving information system resources that are relevant to an information need. The information need can be specified in the form of a search query. In the case of document retrieval, queries can be based on full-text or other content-based indexing. Information retrieval is the science of searching fo

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"Information retrieval is a wide, often loosely-defined term but in these pages I shall be concerned only with automatic information retrieval systems. Automatic as opposed to manual and information as opposed to data or fact. Unfortunately the word information can be very misleading. In the context of information retrieval (IR), information, in the technical meaning given in Shannons theory of communication, is not readily measured (Shannon & Weaver). In fact in many cases, one can adequately describe the kind of retrieval by simply substituting "document" for "information". Nevertheless, "information retrieval" has become accepted as a description of the kind of work published by Cleverdon, Salton, Spark Jones, Lancaster and others. A perfectly straightforward definition along this line is given by Lancaster 2: "Information retrieval is the term conventionally, though somewhat inaccurately, applied to the type of activity discussed in this volume. An information retrieval system does not inform (i.e. change the knowledge of) the user on the subject of his inquiry. It merely informs on the existence (or non-existence) and whereabouts of documents relating to his request". This specifically excludes Question-Answering systems as typified by Winograd 3 and those described by Minsky 4. It also excludes data retrieval systems such as used by, say, the stock exchange for on-line quotations."
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Information retrieval
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"It can be useful to distinguish between knowledge and information and data; it is also difficult and contentious. Four points should be made. [First] Knowledge, information and data is what the systems to be discussed are for: by storing it in an organized manner, they are intended to enable it to be found when needed. Secondly, there is a spectrum of increased size and organization between data, where the units are quite small, through to knowledge, where the units are large and distinguished by their complex internal structure and relationships, and overlap with other units... Meunier (1987) presents a typology of levels of representation which is useful for the breath of its approach and its classification of relationships. Thirdly, "information" in the expression "information retrieval" is generally abused, because what is retrieved is not information, but bibliographic details of sources in which desired information potentially exists. Very many information retrieval systems are at best document retrieval systems, and more usually they are systems which retrieve surrogates for documents... Finally, although the expression knowledge retrieval is particularly associated with artificial intelligence and expert systems, it should not be forgotten that this is what cataloguers, indexers and bibliographers have been doing, and devising systems for, for many years."
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Information retrieval
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"The problem of directing a user to stored information, some of which may be unknown to him, is the problem of "information retrieval"… In information retrieval, the addressee or receiver rather than the sender is the active party. Other differences are that communication is temporal from one epoch to a later epoch in time, though possibly at the same point in space; communication is in all cases unidirectional; the sender cannot know the particular message that will be of later use to the receiver and must send all possible messages; the message is digitally representable; a "channel" is the physical document left in storage which contains the message; and there is no channel noise because all messages are presumed to be completely accessible to the receiver. The technical goal is finding in minimum time those messages of interest to the receiver, where the receiver has available a selective device with a finite digital scanning rate."
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Information retrieval
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"Calvin Mooers was a participant in early developmental work on digital computers, a researcher, author, and implementer of applications in information retrieval; and a prophet in the 1950s describing the future importance of what is now called computer networks and distributive processing, and daring to predict that machines could simulate thought processes in retrieving computerized information. In 1947, he proposed the Zator, an electronic, film-scanning retrieval machine, and made the first proposal to use the Boolean operations or, and, and not to prescribe selections in retrieval machines. He developed his own Zatocoding System in 1948 using superimposed subject codes on edge-notched cards. He coined the term "Information Retrieval" in 1950, and went on from there to obtain several patents in information retrieval and signaling, produce a text-handling language (TRAC), author some 200 publications, and form one of the first companies whose only concern was information. His thinking has affected all who are in the field of Information and his early ideas are now incorporated into todays reality."
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Information retrieval

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