Formal Ontology in Information Systems
نویسندگان
چکیده
This paper describes the organization of extracted risk-relevant data in a relational database created at Regulatory Data Corporation for use by security professionals. The initial effort involved creating sets of data-extraction variables around a set of risk relevant keywords. The keywords clustered around events rather than entities and the data extraction variables that were developed centered on semantic roles of event participants. To facilitate future data extraction efforts in this genre, we organized events, participants, keywords and grammatical forms into an ontology. This ontology of risk-relevance (henceforth known as the ORR) is a tool for both data extraction professionals and risk-assessment professionals that allows new entries to be added easily when the need for additional information arises.
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