scholarly journals Research on Dynamic Knowledge Map Service System Using Computer Big Data

2021 ◽  
Vol 2083 (4) ◽  
pp. 042001
Author(s):  
Nan Zhang ◽  
Wenqiang Zhang ◽  
Yingnan Shang
Keyword(s):  
Big Data ◽  
Data Model ◽  
Structured Data ◽  
Knowledge Network ◽  
Practical Significance ◽  
Data Publishing ◽  
Knowledge Map ◽  
Related Data ◽  
Construction Of Knowledge ◽  
Map Service

Abstract The emergence of computer big data related data provides a new method for the construction of knowledge links in the knowledge map. This realizes an objective knowledge network with practical significance that is easier to be understood by machines. The article combines the four principles of linked data publishing content objects and their semantic characteristics, and uses the RDF data model to convert unstructured data on the Internet and structured data that adopts different standards into unified standard structured data for association. The system forms a huge knowledge map with semantics, intelligence, and dynamics.

scholarly journals KnowEnG: a knowledge engine for genomics

2015 ◽  
Vol 22 (6) ◽  
pp. 1115-1119 ◽  
Author(s):  
Saurabh Sinha ◽  
Jun Song ◽  
Richard Weinshilboum ◽  
Victor Jongeneel ◽  
Jiawei Han
Keyword(s):  
Big Data ◽  
National Institutes Of Health ◽  
Knowledge Network ◽  
Data Sets ◽  
Network Mining ◽  
Construction Of Knowledge ◽  
Community Data ◽  
Science Framework ◽  
The University ◽  
Big Data Computing

Abstract We describe here the vision, motivations, and research plans of the National Institutes of Health Center for Excellence in Big Data Computing at the University of Illinois, Urbana-Champaign. The Center is organized around the construction of “Knowledge Engine for Genomics” (KnowEnG), an E-science framework for genomics where biomedical scientists will have access to powerful methods of data mining, network mining, and machine learning to extract knowledge out of genomics data. The scientist will come to KnowEnG with their own data sets in the form of spreadsheets and ask KnowEnG to analyze those data sets in the light of a massive knowledge base of community data sets called the “Knowledge Network” that will be at the heart of the system. The Center is undertaking discovery projects aimed at testing the utility of KnowEnG for transforming big data to knowledge. These projects span a broad range of biological enquiry, from pharmacogenomics (in collaboration with Mayo Clinic) to transcriptomics of human behavior.

Study on E-Commerce Platform Operation Mechanism in Big Data Environmen

2014 ◽  
Vol 687-691 ◽  
pp. 2776-2779
Author(s):  
Zhong Kan Xiong ◽  
Pei Zhen Wan ◽  
Jiu Ping Cai
Keyword(s):  
Big Data ◽  
Data Model ◽  
Process Analysis ◽  
Economic Value ◽  
Large Data ◽  
Data Representation ◽  
Algebraic Model ◽  
Structured Data ◽  
Data Service ◽  
High Data

Big data is one of the important development direction of modern information technology, realizing the sharing and analysis of large data will bring immeasurable economic value, but also has a tremendous role in promoting the social. In the age of big data, unified the data representation, large data processing, query, analysis and visualization are the key problem to be solved urgently. In order to provide a standardized framework construction of the large data service platform, this paper designed a large data service oriented architecture user experience. Secondly, in the aspect of data model, in order to achieve high data service for non structured data, the design of the non structured data model based on subject behavior. In large data service model, algebraic model large data services and their composition was established by using process algebra. In large data service applications, detailed retrieval, process analysis and visualization services, and by improving the retrieval accuracy and efficiency of the service in two aspects of measures to achieve the high data service optimization.

scholarly journals Big Data Architecture for Intelligent Transport Systems

2019 ◽  
Vol 8 (9) ◽  
pp. 1281-1286
Keyword(s):  
Big Data ◽  
Transport System ◽  
Traffic Management ◽  
Structured Data ◽  
Transport Systems ◽  
Intelligent Transport System ◽  
Intelligent Transport ◽  
Related Data ◽  
Data Architecture ◽  
Smart Traffic

Day by day as the volume of data is being generated massively, storing of data and processing of data becomes a ever growing challenge in intelligent transport system (ITS). In intelligent transport system there are different areas to concentrate like smart parking systems, dynamic toll charging, smart traffic management etc. This paper is mainly focused on big data architecture for intelligent transport system for dynamic toll charging, traffic management and traffic analysis related data collection from various sources. The data collected from various sources can be in the form of structured data, semi structured data and unstructured data. Because of verity of data collected, this paper gives an idea about which data model is appropriate depending on data collected for transportation system.

scholarly journals Design and Implementation of China HowNet Knowledge Map Generation Module Literature

2018 ◽  
Vol 11 (3) ◽  
pp. 89
Author(s):  
Liu Xiang Wei
Keyword(s):  
Automatic Generation ◽  
Practical Significance ◽  
Knowledge Map ◽  
Construction Technology ◽  
Map Building ◽  
Analysis And Design ◽  
Related Data ◽  
Map Construction ◽  
Map Generation ◽  
Automatic Mapping

Based on the analysis of the construction technology of the existing literature knowledge map, a China HowNet (CNKI) method for automatic generation of literature knowledge map. This paper according to the qualification to collect related data of the web page; Second original web data analysis, and design knowledge map structure; By determining the entity, after extracting properties and associated knowledge; And knowledge to the automatic mapping for secondary image database of Cypher code; Finally build the direction of our school language information processing of CNKI, included the literature of knowledge map. Automatic and efficient knowledge map construction in the evolution of discipline has great practical significance, methods and conclusions of this paper can provide literature research, the researchers in the field of knowledge map building and information visualization to provide enlightenment and reference.

The Quality Data Model of Product Lifecycle and Base Application in Electronic Components Industry

2014 ◽  
Vol 635-637 ◽  
pp. 1948-1951
Author(s):  
Yao Guang Hu ◽  
Dong Feng Wu ◽  
Jing Qian Wen
Keyword(s):  
Life Cycle ◽  
Data Analysis ◽  
Data Model ◽  
Product Life Cycle ◽  
Business Processes ◽  
Quality Data ◽  
Electronic Components ◽  
Product Lifecycle ◽  
Related Data ◽  
Base Application

On the basis of the electronic components business processes and the analysis of the quality data related, a model based on the object entity of the product life cycle is proposed. Object entity as the carrier of the related data this model mergers and reorganizes the related business, meanwhile links the entity through the revolved information of the quality data model thus achieving the integrity of the business in both time and space. This data model as the basis, can effectively realize the integration and sharing of quality data, facilitates the quality data analysis and quality traceability, and improve the capabilities of quality data management for the enterprise.

Big Data and Big Data Analytics for Improved Healthcare Service and Management

2020 ◽  
Vol 8 (1) ◽  
pp. 13-51
Author(s):  
Pijush Kanti Dutta Pramanik ◽  
Saurabh Pal ◽  
Moutan Mukhopadhyay
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Future Market ◽  
Data Generation ◽  
Related Data ◽  
Healthcare Data ◽  
Different Types

Like other fields, the healthcare sector has also been greatly impacted by big data. A huge volume of healthcare data and other related data are being continually generated from diverse sources. Tapping and analysing these data, suitably, would open up new avenues and opportunities for healthcare services. In view of that, this paper aims to present a systematic overview of big data and big data analytics, applicable to modern-day healthcare. Acknowledging the massive upsurge in healthcare data generation, various ‘V's, specific to healthcare big data, are identified. Different types of data analytics, applicable to healthcare, are discussed. Along with presenting the technological backbone of healthcare big data and analytics, the advantages and challenges of healthcare big data are meticulously explained. A brief report on the present and future market of healthcare big data and analytics is also presented. Besides, several applications and use cases are discussed with sufficient details.

An Integrated View of Complex Landscapes: A Big Data-Model Integration Approach to Transdisciplinary Science

BioScience ◽  
2018 ◽  
Vol 68 (9) ◽  
pp. 653-669 ◽  
Author(s):  
Debra P C Peters ◽  
N Dylan Burruss ◽  
Luis L Rodriguez ◽  
D Scott McVey ◽  
Emile H Elias ◽  
...  
Keyword(s):  
Big Data ◽  
Data Model ◽  
Model Integration ◽  
Integration Approach ◽  
Transdisciplinary Science ◽  
Complex Landscapes
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