Arbeitspapier
Logic Mill - A Knowledge Navigation System
Logic Mill is a scalable and openly accessible software system that identifies semantically similar documents within either one domain-specific corpus or multi-domain corpora. It uses advanced Natural Language Processing (NLP) techniques to generate numerical representations of documents. Currently it leverages a large pre-trained language model to generate these document representations. The system focuses on scientific publications and patent documents and contains more than 200 million documents. It is easily accessible via a simple Application Programming Interface (API) or via a web interface. Moreover, it is continuously being updated and can be extended to text corpora from other domains. We see this system as a generalpurpose tool for future research applications in the social sciences and other domains.
- Language
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Englisch
- Bibliographic citation
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Series: Discussion Paper ; No. 440
- Classification
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Wirtschaft
- Event
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Geistige Schöpfung
- (who)
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Erhardt, Sebastian
Ghosh, Mainak
Buunk, Erik
Rose, Michael E.
Harhoff, Dietmar
- Event
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Veröffentlichung
- (who)
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Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition
- (where)
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München und Berlin
- (when)
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2023
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Erhardt, Sebastian
- Ghosh, Mainak
- Buunk, Erik
- Rose, Michael E.
- Harhoff, Dietmar
- Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition
Time of origin
- 2023