NLP-driven ontology modeling for handling event semantics in NL constraints
Malik Mamoona, Mehak Saleem · 2016
To assist decision makers, there is need of providing an insight on current of scenario of market, considering really sensitive news involving economic events like acquisitions, stock splits, or dividend announcements. Similar to the work discussed above, to machine process natural language constraints, there is need of a mechanism that can automate events related information extraction and knowledge acquisition processes to facilitate software developers in fulfilling their cumbersome tasks, for quicker and accurate of software modeling. However, extraction of events and their related information from natural language constraints is a complex task considering the ambiguous nature of natural languages such as English. However, similar problems have been solved previously by other researchers with the help of using event semantic ontologies. However, there is need to plan a mechanism for developing an event semantic ontology for natural language constraints. It is discussed in the previous sections that the Ontology can provide assistance in identification of relations existing in various annotations. It is discussed in this thesis that it is significant to use ontology for identifying events from text. With respect to the scope of this thesis, a framework is developed to generate an event semantic ontology.