Improving Company Valuations with Automated Knowledge Discovery, Extraction and Fusion

Citation

Weichselbraun, Albert, 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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