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Proximity and Epidata - Attributes and Meaning Modification (Hardcover, 1st ed. 2022) Loot Price: R1,086
Discovery Miles 10 860
Proximity and Epidata - Attributes and Meaning Modification (Hardcover, 1st ed. 2022): Laurie J. Bonnici, Brian C. O'Connor

Proximity and Epidata - Attributes and Meaning Modification (Hardcover, 1st ed. 2022)

Laurie J. Bonnici, Brian C. O'Connor

Series: Synthesis Lectures on Information Concepts, Retrieval, and Services

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Loot Price R1,086 Discovery Miles 10 860 | Repayment Terms: R102 pm x 12*

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This book provides a new model to explore discoverability and enhance the meaning of information. The authors have coined the term epidata, which includes items and circumstances that impact the expression of the data in a document, but are not part of the ordinary process of retrieval systems. Epidata affords pathways and points to details that cast light on proximities that might otherwise go unknown. In addition, epidata are clues to mis-and dis-information discernment. There are many ways to find needed information; however, finding the most useable information is not an easy task. The book explores the uses of proximity and the concept of epidata that increases the probability of finding functional information. The authors sketch a constellation of proximities, present examples of attempts to accomplish proximity, and provoke a discussion of the role of proximity in the field. In addition, the authors suggest that proximity is a thread between retrieval constructs based on known topics, predictable relations, and types of information seeking that lie outside constructs such as browsing, stumbling, encountering, detective work, art making, and translation.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Synthesis Lectures on Information Concepts, Retrieval, and Services
Release date: October 2022
First published: 2022
Authors: Laurie J. Bonnici • Brian C. O'Connor
Dimensions: 240 x 168mm (L x W)
Format: Hardcover
Pages: 100
Edition: 1st ed. 2022
ISBN-13: 978-3-03-117093-5
Categories: Books > Reference & Interdisciplinary > Library & information sciences > General
Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Computer communications & networking > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-03-117093-8
Barcode: 9783031170935

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