Characteristics of Expertise Locator System in Academia: A Systematic Literature Review
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
The ever-increasing need to find experts in academia contributes to the rise of Expertise Locator System (ELS) in academia. ELS can exist in the form of an expert search system or expert recommender system. Albeit the systems' common purpose of finding an expert, the existing ELS are different from each other in characteristics. There is a consideration, reason, and purpose why an ELS is created with specific characteristics. It is therefore essential to assess and review the characteristics of the system, before creating an ELS. By systematically reviewing recent articles using the Kitchenham method, this research identifies various type of characteristics, so that in the future, ELS in academia can be developed with these characteristics. This study has also identified and proposed seven new characteristics of ELS.
Original language | English |
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Title of host publication | Proceedings - 2020 International Seminar on Intelligent Technology and Its Application : Humanification of Reliable Intelligent Systems, ISITIA 2020 |
Number of pages | 8 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Publication date | Jul 2020 |
Pages | 186-193 |
Article number | 9163671 |
ISBN (Electronic) | 9781728174136 |
DOIs | |
Publication status | Published - Jul 2020 |
Event | 2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020 - Virtual, Online, Indonesia Duration: 22 Jul 2020 → 23 Jul 2020 |
Conference
Conference | 2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020 |
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Land | Indonesia |
By | Virtual, Online |
Periode | 22/07/2020 → 23/07/2020 |
Sponsor | IEEE Indonesia Section, Industrial Electronics Society Indonesia Chapter |
Series | Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020 |
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Bibliographical note
Funding Information:
ACKNOWLEDGMENT This work is supported by the Publikasi Terindeks Internasional (PUTI) Prosiding Universitas Indonesia 2020 grant (NKB-873/UN2.RST/HKP.05.00/2020).
Funding Information:
National Natural Science Foundation of China
Funding Information:
This work is supported by the Publikasi Terindeks Internasional (PUTI) Prosiding Universitas Indonesia 2020 grant (NKB-873/UN2.RST/HKP.05.00/2020).
Publisher Copyright:
© 2020 IEEE.
- characteristics, expert finder, expertise locator system, knowledge management, knowledge sharing system
Research areas
ID: 320796470