International Journal of Advanced Research in Computer Engineering & Technology
Information extraction systems which are implemented traditionally have focus on extracting particular type of information. Most of them are suitable for static databases. In these approaches process of extraction has to be applied on entire database which results in slow processing of user queries. Also, efficiency and quality of extraction of specific results is poor due to huge reprocessing time. In this paper, the authors are going to use database queries for information extraction to minimize reprocessing time of data. Also it performs automated query generation using natural language processing.