Model of Information Retrieval in the Context of Organizations
María del Carmen Cruz Gil
Abstract
María del Carmen Cruz Gil
Abstract
An information retrieval model is presented as a result of a study of two different but integrated perspectives of Information Science. On the one hand, Information Science is considered from the point of view of Information Management, and on the other from the Information Science retrieval. The latter encompasses the point of view of some cognitivist authors who have created an information retrieval model and these have been exhaustively studied. This appraisal begins with the intention of finding realistic solutions to the problems in order that the information chain can flow unhindered and, thus, enable to achieve the objectives for which the information was generated.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
An information retrieval model is presented as a result of a study of two different but integrated perspectives of Information Science. On the one hand, Information Science is considered from the point of view of Information Management, and on the other from the Information Science retrieval. The latter encompasses the point of view of some cognitivist authors who have created an information retrieval model and these have been exhaustively studied. This appraisal begins with the intention of finding realistic solutions to the problems in order that the information chain can flow unhindered and, thus, enable to achieve the objectives for which the information was generated.
Key concepts: Information retrieval, Cognitive models of information retrieval, Computer science, Human–computer information retrieval, Point (geometry), Information science, Context (archaeology), Information flow