Buch, Englisch, 164 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 442 g
Reihe: Fuzzy Management Methods
An Expert Finder System for Knowledge Carriers
Buch, Englisch, 164 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 442 g
Reihe: Fuzzy Management Methods
ISBN: 978-3-030-22977-1
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Geisteswissenschaften Sprachwissenschaft Computerlinguistik, Korpuslinguistik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Zeichen- und Zahlendarstellungen
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
Weitere Infos & Material
Part I: Motivation and Objectives.- Part II: Background.- Part III: Conceptual Framework.- Part IV: Architecture and Inference System.- Part V: Conclusions.
