A proposal for a framework capable of aggregating IOT data with diverse data types

• Grant number: 16/08194-7
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Start date: March 01, 2017
• End date: November 30, 2017
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Maria Luisa Lopes de Faria
• Grantee: Maria Luisa Lopes de Faria
• Company: Maria Luisa Lopes de Faria
• City: São Paulo
• Associated scholarship(s): 17/02782-7 - A proposal for a framework capable of aggregating IOT data with diverse data types, BP.PIPE

Abstract

Recently, smart devices such as portable computers, smartphones, tablets, smart glasses, watches, bracelets, rings, hair clips and others are collecting and sending information from all over the world in near real-time. Based on these informations, people take decisions, make deals, change routes, call, text, express opinions and sentiments, generating more data and information. Under these circumstances, ordinary people are now known as "Smart Citizens" because of the information produced by them are sensed and transmitted in near real time generating a new paradigm called "the Citizen as Sensor". In general, Smart Citizens describe facts, express opinions and sentiments in social networks, blogs, microblogs, bookmarks, comment about products, news and events, images, video, audio, etc. There are several reasons to scrutinize these informations: political, economical, commercial, for security and so on. However, not only are people producing data, but also companies, sensors, etc., are propagating data like never before in the past. As a result, the volume of information in the Internet is growing exponentially. The ability to find intelligible information among vast amounts of data is transforming the human vision of the universe and everything within it. The underlying question then becomes which methods or techniques can be applied to transform the raw data into something intelligible and active? This question is explored in this document by investigating techniques that might improve intelligence for systems in order to make them perceptive/active to the recent information sensed. The scenario described above suggests that future research should focus on developing combined techniques to discover patterns and extract various relevant information. By investigating these areas it is possible to contribute to this new interconnected society by offering better insights and services. (AU)