Authors : D. Teja and G. Rama Krishna
Abstract: Now-a-days several organizations generate and share descriptive and textual information of their product, services and actions. Such kind of collections of textual information contain vital quantity of structured data that remains saved in the unstructured text. While data extraction algorithms facilitate the extraction of structured relations in a very costly and in accurate manner especially when operating on top of text that doesn’t contain any instances of the targeted structured data. There are several alternative approaches that facilitate the generation of the structured data by distinguishing documents that are possible to contain information of interest and this data is going to be subs equently helpful for querying the database that depends on the thought that humans are more possible to add the required data throughout creation time. This could be done like prompting by the interface or that it should made easier for humans (and/or algorithms) to identify the data when such data really exists within the document, rather than naively prompting users to fill in forms with data that’s not out there within the document.
D. Teja and G. Rama Krishna, 2016. The Efficient Technique to Protect and Maintain Content Based Queries of Mobile Networks. Asian Journal of Information Technology, 15: 1970-1974.