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AI Application in Libraries
Patrícia Furtado | 2023 | ISBN: 1682508617 | English | 302 pages | True PDF | 11 MB[/center]
The society is becoming increasingly centered on information handling, processing, storage and dissemination, using microelectronic based technologies, today's computers can stimulate many human capabilities such as reading, grasping, calculating, speaking, remembering, comparing numbers, drawing, making judgments, and even interactive learning. Researchers are working to expand these capabilities and, therefore the power of computers by developing hardware and software that can initiate intelligent human behavior. Artificial Intelligence (Al) pervades our everyday lives, whether we realize it or not. Al technologies power our digital personal assistants, show us traffic flows on our roads, monitor our health and diagnose diseases, guide our product selections when we shop online, and give financial advice. Libraries also benefit from Al technologies and Al applications are increasing.
In this book an attempt has been made to trace the different applications of Artificial Intelligence to the libraries. The various concepts such as expert system, natural language processing, pattern recognition and robotics and their application to the libraries have enumerated. The advantages and disadvantages of Artificial Intelligence have also been discussed.
Just like other areas of our lives, Artificial Intelligence has also entered libraries in the form of chatbots that can handle directional questions on a library website, alert when a book is due, point a user to relevant library resources or answer simple informational requests. In the future, Al will influence the way information can be connected and found in even more exciting ways. Librarians have insight into how their clients search for and use information and can therefore actively support the development. This might mean to bring a text and data mining tool to an internal dataset or help a project team find new insight from existing data. Or to acquire a data visualization tool to help users find unexpected connections in the published literature. By observing and exploring how information flows within their organization, librarians can identify points at which information could be transformed or used in entirely new ways. Machine learning as well as sound- and image-recognition technologies are already being used to analyze digital collections and identify topics and entities, assign metadata and enable non-textual search and discovery. Librarians are working with machine learning technologies, to enhance classification schemes to improve search and recall precision. - As the concept and implementation of cutting-edge technologies like artificial intelligence and machine learning has become relevant, academics, researchers and information professionals involve research in this area. The objective of this book is to provide a synthesis of empirical studies exploring application of artificial intelligence and machine learning in libraries.
AI Application in Libraries
Patrícia Furtado | 2023 | ISBN: 1682508617 | English | 302 pages | True PDF | 11 MB[/center]
The society is becoming increasingly centered on information handling, processing, storage and dissemination, using microelectronic based technologies, today's computers can stimulate many human capabilities such as reading, grasping, calculating, speaking, remembering, comparing numbers, drawing, making judgments, and even interactive learning. Researchers are working to expand these capabilities and, therefore the power of computers by developing hardware and software that can initiate intelligent human behavior. Artificial Intelligence (Al) pervades our everyday lives, whether we realize it or not. Al technologies power our digital personal assistants, show us traffic flows on our roads, monitor our health and diagnose diseases, guide our product selections when we shop online, and give financial advice. Libraries also benefit from Al technologies and Al applications are increasing.
In this book an attempt has been made to trace the different applications of Artificial Intelligence to the libraries. The various concepts such as expert system, natural language processing, pattern recognition and robotics and their application to the libraries have enumerated. The advantages and disadvantages of Artificial Intelligence have also been discussed.
Just like other areas of our lives, Artificial Intelligence has also entered libraries in the form of chatbots that can handle directional questions on a library website, alert when a book is due, point a user to relevant library resources or answer simple informational requests. In the future, Al will influence the way information can be connected and found in even more exciting ways. Librarians have insight into how their clients search for and use information and can therefore actively support the development. This might mean to bring a text and data mining tool to an internal dataset or help a project team find new insight from existing data. Or to acquire a data visualization tool to help users find unexpected connections in the published literature. By observing and exploring how information flows within their organization, librarians can identify points at which information could be transformed or used in entirely new ways. Machine learning as well as sound- and image-recognition technologies are already being used to analyze digital collections and identify topics and entities, assign metadata and enable non-textual search and discovery. Librarians are working with machine learning technologies, to enhance classification schemes to improve search and recall precision. - As the concept and implementation of cutting-edge technologies like artificial intelligence and machine learning has become relevant, academics, researchers and information professionals involve research in this area. The objective of this book is to provide a synthesis of empirical studies exploring application of artificial intelligence and machine learning in libraries.
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