With the large amounts of information associated with the Initial Public Offering (IPO) process, an intelligent tool is needed for assisting the decision-making activities for both the investors and the underwriters. Even though a large body of related studies exists in extant literature, minimum attention has been devoted to the aspect of understanding hidden semantics within the informative contents of IPO prospectus. In this paper, we present a framework for processing the textual content of IPO prospectus based on an emerging technique named Ontology Based Information Extraction (OBIE). Preliminary results indicates that the framework is capable of meeting the design requirements identified. Moreover, lessons learned during the design and implementation span technical and organizational considerations and can serve as guidance for future research and development in related areas.
Tao, J., Deokar, A. V., & El-Gayar, O. F. (2014, January). An ontology-based information extraction (OBIE) framework for analyzing initial public offering (IPO) prospectus. In 2014 47th Hawaii International Conference on System Sciences (pp. 769-778). IEEE.