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Mooers received the American Society for Information Science's Award of Merit in 1978. The citation reads in part: He 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 ...
Information retrieval is the science [1] of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds. Automated information retrieval systems are used to reduce what has been called information overload. An IR system is a ...
Indexing and classification methods to assist with information retrieval have a long history dating back to the earliest libraries and collections however systematic evaluation of their effectiveness began in earnest in the 1950s with the rapid expansion in research production across military, government and education and the introduction of computerised catalogues.
The Cranfield experiments were extremely influential in the information retrieval field, itself a subject of considerable interest in the post-World War II era when the quantity of scientific research was exploding. It was the topic of continual debate for years and led to several computer projects to test its results.
Position information, indicating where in the text the term appears. Additional metadata may include fields such as document titles, headings, or other relevant document-specific information. The exact structure of a postings list can vary based on its application, with some using linked lists, arrays, or more complex data structures like skip ...
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Knowledge retrieval seeks to return information in a structured form, consistent with human cognitive processes as opposed to simple lists of data items. It draws on a range of fields including epistemology (theory of knowledge), cognitive psychology, cognitive neuroscience, logic and inference, machine learning and knowledge discovery, linguistics, and information technology.
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