COMBINATION OF TECHNIQUES OF BIG DATA ANALYTICS AND SEMANTIC WEB FOR THE DETECTION OF VOCABULARY OF HARASSMENT SCHOOL IN INTERNET

Abstract

To Interact with the world through social networks, search and receive information, Transact, collaborate and share content regardless of our geographical location and language they have become everyday activities that we perform through the Web. The large number of Internet-connected devices (mobile, electronic tablet or Pc's), as well as the growth of the network infrastructure, are some of the factors that have contributed to the success of the Web generating large volumes of data (Big Data). However the process to analyze the huge amount of data in the Web still must be established, in this sense there are architectures of Software little defined, some of them have focused to the search and location of information inside the Web [1], to the distributed process in large volumes of data [1], and to the recovery of information with techniques of Natural Language Process (NLP) [1], implementing partial solutions although some of them have not been entirely accepted by the Scientific Community.