FSA and NLP based Un-supervised non template Web data extraction in the construction Of Dynamic Ontology
K. Uma Pavan Kumar, S. Sabeetha Saraswathi · 2016
The main focus of our research work is to construct the Job Recommendation System (JRS) based on the ontology construction. The current discussion is related to web data extraction process in the construction of ontology. The importance of this concept is how best data can be extracted from various web pages to minimize the time requirement and improve the efficiency. The process followed to construct ontology is first identified various sources of job portals, then extraction of data from those portals for that the proposed a method is FSA(Finite State Automata) and NLP(Natural Language Processing) based extraction of data. The outcome of this method is efficient data extraction in terms of time and space usage when compared with other models.