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semCDI: A Query Formulation for Semantic Data Integration in caBIG
ObjectivesTo develop mechanisms to formulate queries over the semantic representation of cancer-related data services available through the cancer Biome...
文献获取Towards a Semantic Extract-Transform-Load (ETL) Framework for Big Data Integration
Big Data has become the new ubiquitous term used to describe massive collection of datasets that are difficult to process using traditional database and...
Knowledge cubes — A proposal for scalable and semantically-guided management of Big Data
A Knowledge Cube, or cube for short, is an intelligent and adaptive database instance capable of storing, analyzing, and searching data. Each cube is es...
A Semantic Analysis Method of Public Public Built Environment and Its Landscape Based on Big Data Technology: Kimbell Art Museum as ...
Based on big data, a new public space evaluation method is proposed. Using programming technology to collect visitor reviews from the travel website Tri...
Design and Development of a Big Data Platform for Disease Burden Based on the Spark Engine
Objective This study attempts to build a big data platform for disease burden that can realize the deep coupling of artificial intelligence and public h...
Job qualifications study for data science and big data professions
Purpose The lack of clarity in defining data science is problematic in both academia and industry because the former has a need for clarity to establish...
A Semantic++ Programming Design Mechanism for Big Data
In this paper, we propose a semantic++ programming design mechanism for big data. We introduce the concepts of semantic computing, semantic+ computing, ...
A Semantic++ Programming Design Mechanism for Big Data
In this paper, we propose a semantic++ programming design mechanism for big data. We introduce the concepts of semantic computing, semantic+ computing, and semantic++ computing. We propose semantic++ programming design mechanism on bi...
A Novel Approach to Extend KM Models with Object Knowledge Model (OKM) and Kafka for Big Data and Semantic Web with Greater Semantics
In knowledge management (KM), everything is identified by an object and the world is a collection of objects. In the context of NLP, identifying grammar...
Semantic-aware data quality assessment for image big data
Data quality (DQ) assessment is essential for realizing the promise of big data by judging the value of data in advance. Relevance, an indispensable dim...
