Big data summarization using semantic feture for IoT on cloud

Abstract

Data management is a crucial aspect in the Internet of Things (IoT) on Cloud. Big data is about the processing and analysis of large data repositories on Cloud computing. Big document summarization method is an important technique for data management of IoT. Traditional document summarization methods are restricted to summarize suitable information from the exploding IoT big data on Cloud. This paper proposes a big data (i.e., documents, texts) summarization method using the extracted semantic feature which it is extracted by distributed parallel processing of NMF based cloud technique of Hadoop. The proposed method can well represent the inherent structure of big documents set using the semantic feature by the non-negative matrix factorization (NMF). In addition, it can summarize the big data size of document for IoT using the distributed parallel processing based on Hadoop. The experimental results demonstrate that the proposed method can summarize the big data document comparing with the single node of summarization methods.

Integration of Cloud computing and Internet of Things: A survey

“…Handling this data conveniently is a critical challenge, as the overall application performance is highly dependent on the properties of the data management service [37]. For instance, cloud-based methods for Big Data summarization based on the extraction of semantic feature are actually under investigation [69]. Hence, following the NoSQL movement, both proprietary and open source solutions adopt alternative database technologies for big data [31]: time-series, key-value, document store, wide column stores, and graph databases.…”

Data Summarization in Internet of Things

“…Many smart devices such as smartphones, smartwatches and smart surveillance systems typically generate higher abstraction level documents, such as textual, audio and video files, at an exponential rate. Document summarization is a technique used for bringing down the sizes of documents while preserving their informative outlines [8]. Big document summarization, which deals with processing and abridging data repositories of large size, thus becomes an essential aspect of data management in the IoT cloud.…”

“…Big document summarization, which deals with processing and abridging data repositories of large size, thus becomes an essential aspect of data management in the IoT cloud. Some of the key aspects and technologies involved are [8][9] : video and multi-modal data summarization respectively are discussed in this section.…”

The 10 Research Topics in the Internet of Things

“…Eventually, condensed semantical features are formed, with which the downstream tasks will be facilitated dramatically. By doing so, it can help the IoT users save huge amount of time, since the users are able to quickly acquire target information they need without reading tedious documents [83]. Moreover, data summarization is capable of reducing the energy consumption in various IoT environments [84] and decrease the requirements of the application servers in storage, transmission and processing.…”