Improving Company Valuations With Automated Knowledge Discovery, Extraction And Fusion

INFORMATION-WISSENSCHAFT UND PRAXIS(2020)

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摘要
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.
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关键词
Company Valuation, Deep Web, Web Intelligence, Biotech companies, Knowledge acquisition, Knowledge extraction, Slot filling
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