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Big Data Solutions

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Introduction

Sci-Tech Big Data Solution is a full-process and multi-language sci-tech data platform that can achieve sci-tech data extraction, distributed data storage, modelling analysis and visualization. Sci-tech big data mainly serves governments, universities, enterprises and scientific research institutions, providing users in a variety of global sectors with accurate sci-tech knowledge services and intelligent semantic search services. It can provide the latest scientific and technological information, patents, periodicals and other literature data via the Internet while delivering customized industry-specific big-data solutions to industry users in the form of subject services and intelligent analysis reports.

The platform covers resource-building, platform/tool-building and value-added service-building. With YeeSight's public opinion and machine translation as the core, the platform provides different levels of resource discovery and acquisition by combining a metadata repository with big-data mining and processing. Moreover, the platform upgrades and builds products and tools such as scientific and technological cloud maps, industry focus, scientific and technological literature and patent semantic search, subject service, auxiliary decision-making, science and technology index, aggregative discovery and business intelligence. It assesses business conditions with respect to social media, knowledge management, knowledge analysis, scientific research decision-making, academic exchange, mobile micro-service and other development conditions in the multi-domain information industry, monitors the levels of scientific, technological and economic development as well as the industry trends and high-tech progress in related areas, and carries out multi-level, all-round knowledge services and exchanges.

The top layer of the platform is the strategic research and policy consulting layer. Through intelligent means and information analysis, it mines the tacit knowledge in existing information resources to provide a variety of comprehensive research reports. Additionally, it offers data analysis in science and technology, patents and other vertical areas, helping customers obtain valuable data from intellectual property information.

Features

Big Data Environment

A distributed storage platform featuring fast cross-language data holding and querying as well as data redundancy, which can ensure data security.

Natural Language Processing

It makes use the of GTCOM's advantages in the language field for decades, providing professional machine translation and big data analysis technology for scientific and technological innovation in the field of natural language processing.

Global Data Sources

Ten-million-level global data sources cover news, social contact, videos, pictures, industry data, scientific research and other diverse data.

itative Resources

It integrates academic resource pools, expert database resource pools, scientific research think tanks, etc. and deepens cooperation with itative organizations.

Open Data

It has hundreds of algorithm models and one-billion data interfaces.

Capacity Opening

Daas data services, PaaS platform services, SaaS industry applications, industry consulting services, technology transfer, customized solutions, etc.

Capability

(1) Data Aggregation

It shows the latest global multilingual information of subdivided industries dynamically in the field of science and technology, figures, recommendations, scientific research materials, etc., providing aid reading through machine translation.


(2) Subject Analysis

It demonstrates a topic comprehensively via deep machine learning to create auxiliary topics, including feature guides, hot news, special subject literature, exceptional liable reports and other functions.


3) Aid Decision-making

The mining and analysis tools of sci-tech big data information facing discipline services, scientific research management and consulting helps to understand the research status of topics of concern, sought-after achievement and progress of experts, research institutions and methodical  projects in the subject area, and statistics and analysis of controlled research capabilities of systematic research institutions, providing quantifiable analytical services for regulated research decisions.


(4) Aggregation Discovery

In-depth integration of global sci-tech information, social media information and academic literature on the Internet, uniform searching, original text acquisition services and bibliometrics algorithms can help users to search in an easy and efficient way.


(5) Innovation Analysis

Sci-tech innovation ability assay analyzes organizations' methodical research output and creative capabilities comprehensively through factual assessment systems and provides innovative ability evaluation and support services of aid decision-making for governments, enterprises, colleges and universities as well as scientific research institutions.


(6) Personalized Services

Personalized services can be customized based on user demands to collect a large number of management result resources like science and technology resources, expert resources, patent resources, social media research topics and report resources for subscription and push.


(7) Business Intelligence

Data analysis experience brought about by business intelligence analysis covers the entire process of data acquisition and integration, data storage, data analysis, data visualization, and even data mining and in-depth analysis, helping users with data-based smart operation.


Applications

  • Sci-Tech Service Portals, Services and Management
  • The big data platform can provide data to summarize technical innovation activities in the related industry and analyze technological innovation points in the upstream and downstream industry chain, providing decision support for government's financial in
  • Consultations on Corporate Development Strategy
  • By recording and analyzing the use of scientific and technological resources, it is possible to predict the direction of technical development for enterprises and industries, which can help with better resources, allocation and layout in advance;
  • Sci-tech Credit Rating System and Resource Allocation
  • Various types of scientific and technological resources can be allocated more effectively by recording and establishing a scientific credit rating system, promoting the establishment of an integrity mechanism for small and medium-sized technology-based en

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