User Awareness Semantic Search Based on Approximate Methodology in Massive Storage System

Abstract

Textual documents produced and distributed on the Internet are ever changing in numerous forms. Furthermost of prevailing works aredevoted to topic modeling and the progression of individual topics, while sequential relations of topics in successive documents publishedby a specific user are ignored. Inthis paper we explore a semantic Search method for processingthe large scale data volumes in the cloud. We use the hashingalgorithms and flat structured addressing schemes for theretrieval of the data by using the semantic queries. Here the datais processed by using the caching techniques and the data isretrieved by using the semantic query. This techniques reducesthe time delay for the retrieval of the data from the large scalestorage systems.