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