Granular Knowledge Cube - An Expert Finder System for Knowledge Carriers

This book introduces a novel type of expert finder system that can determine the knowledge that specific users within a community hold, using explicit and implicit data sources to do so. Further, it details how this is accomplished by combining granular computing, natural language processing and a set of metrics that it introduces to measure and compare candidates' suitability. The book describes profiling techniques that can be used to assess knowledge requirements on the basis of a given problem statement or question, so as to ensure that only the most suitable candidates are recommended.
The book brings together findings from natural language processing, artificial intelligence and big data, which it subsequently applies to the context of expert finder systems. Accordingly, it will appeal to researchers, developers and innovators alike.

List of contents

Part I: Motivation and Objectives.- Part II: Background.- Part III: Conceptual Framework.- Part IV: Architecture and Inference System.- Part V: Conclusions.

Summary

This book introduces a novel type of expert finder system that can determine the knowledge that specific users within a community hold, using explicit and implicit data sources to do so. Further, it details how this is accomplished by combining granular computing, natural language processing and a set of metrics that it introduces to measure and compare candidates’ suitability. The book describes profiling techniques that can be used to assess knowledge requirements on the basis of a given problem statement or question, so as to ensure that only the most suitable candidates are recommended.

The book brings together findings from natural language processing, artificial intelligence and big data, which it subsequently applies to the context of expert finder systems. Accordingly, it will appeal to researchers, developers and innovators alike.

Product details

• Authors: Alexander Denzler
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2019
• EAN: 9783030229771
• ISBN: 978-3-0-3022977-1
• No. of pages: 164
• Dimensions: 156 mm x 244 mm x 16 mm
• Weight: 425 g
• Illustrations: XIII, 164 p.
• Series: Fuzzy Management Methods
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; Social sciences, law, business > Business > Management; Management, Wissensmanagement, B, Künstliche Intelligenz, Data Mining, Datenbanken, Artificial Intelligence, Business and Management, Computerlinguistik und Korpuslinguistik, Knowledge Management, Wissensbasierte Systeme, Expertensysteme, IT in Business, Data Mining and Knowledge Discovery, Management science, Management information systems, Business Information Systems, Expert systems / knowledge-based systems, Data structures (Computer science), Computational Linguistics, Data Storage Representation, Storage media & peripherals