Ontology Based Semantic File Search Assistant

Abstract

Many computer users do not give much attention to the organization of files into proper folders when saving them. Even if they do, with the increase of the number of files it becomes very difficult to locate them quickly without extensive search. If the files are saved with proper organization, it will be easier to search for a file. But the users still have to remember in which folders the files are saved. This research takes a different approach to saving and searching for files. It focuses on creating a bot which is integrated into the operating system that takes care of saving, searching and opening files for the user. The bot accepts natural language queries and return file search results by querying an automatically created ontology. Further, the results are ranked by applying a ranking algorithm before presenting to the users. Though this concept can be applied to any domain the research will apply this to a set of Request for Comments (RFC) text files. The experiments done on the results show that the system has an accuracy level better than that of an ordinary file search in an operating system.