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 s...
Saved in:
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
| Edition: | 1st ed. 2019. |
| Series: | Fuzzy management methods.
|
| Subjects: | |
| Online Access: | Full text (Wentworth users only) |
| 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. . |
|---|---|
| Physical Description: | XIII, 164 pages : online resource. |
| ISBN: | 9783030229788 |
| ISSN: | 2196-4130 |
| DOI: | 10.1007/978-3-030-22978-8 |