Big RDF data cleaning

Tang, Nan

doi:10.1109/icdew.2015.7129549

Cited by 6 publications

(2 citation statements)

References 20 publications

(15 reference statements)

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“…The result of data cleaning is to process various dirty data in a corresponding manner, and obtain standard, clean, continuous data for using in data analysis, such as data statistics, data mining, and so on. Data cleaning is divided into supervised cleaning and unsupervised cleaning [32][33][34]. Supervised cleaning process refers to collecting analytical data under the guidance of domain experts, manually removing obvious noise data and repeating records, filling in missing values and other cleaning actions.…”

Section: Data Cleaning Module Designmentioning

confidence: 99%

Design and Analysis of a Water Quality Monitoring Data Service Platform

Jian-jun¹,

Sheng²,

Chen³

et al. 2020

Computers, Materials &Amp; Continua

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Water is one of the basic resources for human survival. Water pollution monitoring and protection have been becoming a major problem for many countries all over the world. Most traditional water quality monitoring systems, however, generally focus only on water quality data collection, ignoring data analysis and data mining. In addition, some dirty data and data loss may occur due to power failures or transmission failures, further affecting data analysis and its application. In order to meet these needs, by using Internet of things, cloud computing, and big data technologies, we designed and implemented a water quality monitoring data intelligent service platform in C# and PHP language. The platform includes monitoring point addition, monitoring point map labeling, monitoring data uploading, monitoring data processing, early warning of exceeding the standard of monitoring indicators, and other functions modules. Using this platform, we can realize the automatic collection of water quality monitoring data, data cleaning, data analysis, intelligent early warning and early warning information push, and other functions. For better security and convenience, we deployed the system in the Tencent Cloud and tested it. The testing results showed that the data analysis platform could run well and will provide decision support for water resource protection.

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Section: Data Cleaning Module Designmentioning

confidence: 99%

Design and Analysis of a Water Quality Monitoring Data Service Platform

Jian-jun¹,

Sheng²,

Chen³

et al. 2020

Computers, Materials &Amp; Continua

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“…This is primarily as a result of automatic extraction and conversion of data into RDF format; it is also a function of the fact that, in the semantic web context, the same data are contributed by different sources with different understandings. A line of research focuses on data quality and cleaning of LOD data and RDF data in general [5,6].…”

Section: Introductionmentioning

confidence: 99%

A survey of RDF data management systems

Özsu

2016

Front. Comput. Sci.

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Incorporating Clustering into Set Similarity Join Algorithms: The SjClust Framework

Ribeiro

Cuzzocrea

Bezerra

et al. 2016

Lecture Notes in Computer Science

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. On behalf of the Program Committee, we commend these papers to you and hope you find them useful.Database, information, and knowledge systems have always been a core subject of computer science. The ever-increasing need to distribute, exchange, and integrate data, information, and knowledge has added further importance to this subject. Advances in the field will help facilitate new avenues of communication, to proliferate interdisciplinary discovery, and to drive innovation and commercial opportunity.DEXA is an international conference series which showcases state-of-the-art research activities in database, information, and knowledge systems. The conference and its associated workshops provide a premier annual forum to present original research results and to examine advanced applications in the field. The goal is to bring together developers, scientists, and users to extensively discuss requirements, challenges, and solutions in database, information, and knowledge systems.DEXA 2016 solicited original contributions dealing with any aspect of database, information, and knowledge systems. Suggested topics included but were not limited to:

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Big RDF data cleaning

Cited by 6 publications

References 20 publications

Design and Analysis of a Water Quality Monitoring Data Service Platform

Design and Analysis of a Water Quality Monitoring Data Service Platform

A survey of RDF data management systems

Incorporating Clustering into Set Similarity Join Algorithms: The SjClust Framework

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