Concept based document management in cloud storage

Cloud computing is one of the most useful environment that provides various information services in which required information can be retrieved through many web-based tools and applications. Now the new surge of interest in cloud computing is accompanied with the exponential growth of data sizes. There is a need to find the desired content quickly and efficiently by simply consulting the index. Thus there arises a question of how to effectively process these immense data sets is becoming increasingly urgent. Our existing system is searching the content through ontology in cloud which practically suffers from maintaining a consistent logic for the input documents given and taking this advantage into consideration we have brought in new concepts called Document Retrieval Algorithm. In this paper we discuss how effectively and efficiently information can be retrieved from cloud taking into account their storage space too, where we store the metadata of file in cloud and not the entire file which holds a lot of space in distributed environment. Thus we bring in the concept of Named Entity Recognition and Universal Word List with Term frequency, which maximizes the information retrieval more effective and efficient and also to bridge the gap between the semantic web and the users which reduces the complexity met by them in information retrieval.