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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2589

Title: Why We Need an Interdisciplinary View in Information Retrieval
Authors: Volovici, Daniel
Keywords: Information Retrieval, Machine Learning, Artificial Intelligence, Statistics, Contingency Tables
Research Subject Categories::INTERDISCIPLINARY RESEARCH AREAS
Issue Date: 11-Mar-2021
Publisher: Sciendo
Abstract: Information Retrieval (IR) may be considered the scientific foundation of the librarians’ activity. Information retrieval(Van Rijsbergen, 1979) is the science of searching for information relevant for a need specified by a user(Volovici&Volovici, 2013). The search could be inside a document, or for finding documents. It is possible to have searching using metadata that describes data and using databases of texts. In the recent years other fields of study develop methods to find relevant information in large collection of data, especially Data Mining (DM)(Witten et al., 2011). Some such methods are inspired from IR. But the process, relevant for both domains, of finding patterns in data(Crețulescu&Morariu, 2012) (not only in texts) is covered by the academic discipline present in all curricula of Computer Science, Machine Learning (ML)(Japkowicz& Shah, 2011).
URI: http://hdl.handle.net/123456789/2589
ISBN: 978-83-958150-6-5
Appears in Collections:Proceeding ICISIL

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