Model-based Information Retrieval System
Sola Stephen Maitanmi, Adekunle Yinka, Adio Adesina Kamorudeen, Onwodi Gregory, Malasowe Bridget
Abstract
Sola Stephen Maitanmi, Adekunle Yinka, Adio Adesina Kamorudeen, Onwodi Gregory, Malasowe Bridget
Abstract
Information retrieval System (IRS) is often defined as the location and delivery of documents to a user to satisfy their information needs. IR is the area of study concerned with searching for documents, for information within documents, and for metadata about documents, as well as that of searching structured storage, relational databases, and the worldwide web. There is an overlap in the usage of the terms data retrieval, document retrieval, information retrieval, and text retrieval. IR is interdisciplinary; based on computer science, mathematics, library science, information science, information architecture, cognitive psychology, linguistics, statistics and law. Automated information retrieval systems are used to reduce what has been called information overload. Many universities and public libraries use IR system to provide access to books, journals and other documents. Web search engines are the most visible IR applications. This article is the design and implementation of information retrieval system that deals with this aspect of the institution’s administration by providing an easy to use computerized application to assist in retrieving information.
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Information retrieval System (IRS) is often defined as the location and delivery of documents to a user to satisfy their information needs. IR is the area of study concerned with searching for documents, for information within documents, and for metadata about documents, as well as that of searching structured storage, relational databases, and the worldwide web. There is an overlap in the usage of the terms data retrieval, document retrieval, information retrieval, and text retrieval. IR is interdisciplinary; based on computer science, mathematics, library science, information science, information architecture, cognitive psychology, linguistics, statistics and law. Automated information retrieval systems are used to reduce what has been called information overload. Many universities and public libraries use IR system to provide access to books, journals and other documents. Web search engines are the most visible IR applications. This article is the design and implementation of information retrieval system that deals with this aspect of the institution’s administration by providing an easy to use computerized application to assist in retrieving information.
Key concepts: Cognitive models of information retrieval, Information retrieval, Human–computer information retrieval, Computer science, Adversarial information retrieval, Metadata, Document retrieval, World Wide Web