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 |
|---|---|
| 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 |
| Date of the Publication (Server): | 2022/11/02 |
| 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 |
