Semantic Indexing of a Corpus
Youness Madani, Erritali Mohammed, Bengourram Jamaa · International Journal of Grid and Distributed Computing · 2018
The field of information retrieval (IR) is an important area in computer science, this domain helps us to find information that we are interested in from an important volume of information.Recently a lot of works use semantics in information retrieval systems (IRS) to find the information easily, in this paper our job is to propose a new approach to calculate the semantic similarity between documents, our approach consists of making a hybridization between two approaches already existing in the literature, using semantic relationships such as synonymy or generalization, based on the lexical-semantic dictionary WORDNET.We apply our approach in a first step to make a semantic IRS working in a simple system with a single server, and in a second step to calculate the semantic similarity between documents in a Big Data system using the Hadoop framework working with the MapReduce programming model and the Hadoop Distributed file system HDFS.