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.
| Verfasserangaben: | Frank Bensberg, Gunnar Auth, Christian Czarnecki, Christopher Wörndle |
|---|---|
| DOI: | https://doi.org/10.6084/m9.figshare.7582073.v1 |
| Herausgeber: | H. Kemal İlter |
| Dokumentart: | Konferenzveröffentlichung |
| Sprache: | Englisch |
| Erscheinungsjahr: | 2018 |
| Beteiligte Körperschaft: | Ankara Yıldırım Beyazıt University |
| Datum der Publikation (Server): | 02.11.2022 |
| Freies Schlagwort / Tag: | Literature review; Research process; Text analytics; Text mining |
| Umfang: | 9 Seiten |
| Bemerkung: | 5th International Management Information Systems Conference. October 24-26 2018, Ankara |
| Link: | https://doi.org/10.6084/m9.figshare.7582073.v1 |
| Zugriffsart: | weltweit |
| Fachbereiche und Einrichtungen: | FH Aachen / Fachbereich Elektrotechnik und Informationstechnik |
| collections: | Open Access / Gold |
| Lizenz (Deutsch): |  Creative Commons - Namensnennung |
