Improving Company Valuations with Automated Knowledge Discovery, Extraction and Fusion

Citation

Weichselbraun, Albert and Kuntschik, Philipp and Hörler, Sandro. (2020). Improving Company Valuations with Automated Knowledge Discovery, Extraction and Fusion. Information - Wissenschaft und Praxis 71 (5-6):1-5, English translation of the article: “Optimierung von Unternehmensbewertungen durch automatisierte Wissensidentifikation, -extraktion und -integration”.

Abstract

Performing company valuations within the domain of biotechnology, pharmacy and medical technology is a challenging task, especially when considering the unique set of risks biotech start-ups face when entering new markets. Companies specialized in global valuation services, therefore, combine valuation models and past experience with heterogeneous metrics and indicators that provide insights into a company’s performance. This paper illustrates how automated knowledge discovery, extraction and data fusion can be used to (i) obtain additional indicators that provide insights into the success of a company’s product development efforts, and (ii) support labor-intensive data curation processes.

Keywords: Company Valuation, Deep Web, Web Intelligence, Biotech companies, Knowledge acquisition, Knowledge extraction, Slot filling

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