Transforming literature-intensive research processes through text analytics – design, implementation and lessons learned
- The continuing growth of scientific publications raises the question how research processes can be digitalized and thus realized more productively. Especially in information technology fields, research practice is characterized by a rapidly growing volume of publications. For the search process various information systems exist. However, the analysis of the published content is still a highly manual task. Therefore, we propose a text analytics system that allows a fully digitalized analysis of literature sources. We have realized a prototype by using EBSCO Discovery Service in combination with IBM Watson Explorer and demonstrated the results in real-life research projects. Potential addressees are research institutions, consulting firms, and decision-makers in politics and business practice.
Author: | Frank Bensberg, Gunnar Auth, Christian Czarnecki, Christopher Wörndle |
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DOI: | https://doi.org/10.6084/m9.figshare.7582073.v1 |
Editor: | H. Kemal İlter |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2018 |
Contributing Corporation: | Ankara Yıldırım Beyazıt University |
Tag: | Literature review; Research process; Text analytics; Text mining |
Length: | 9 Seiten |
Note: | 5th International Management Information Systems Conference. October 24-26 2018, Ankara |
Link: | https://doi.org/10.6084/m9.figshare.7582073.v1 |
Zugriffsart: | weltweit |
Institutes: | FH Aachen / Fachbereich Elektrotechnik und Informationstechnik |
open_access (DINI-Set): | open_access |
collections: | Open Access / Gold |
Licence (German): | Creative Commons - Namensnennung |