Third International Workshop on Semantic Data Integration @ IEEE Intl. Conference on Semantic Computing (SDI 2019)

January 30 - February 01, 2019, Newport Beach, CA, United States

Call For Paper

There has been an exponential growth and availability of data, both structured and unstructured. Massive amounts of data are available to be harvested for competitive business advantage, government policies, and new insights into a broad array of applications (including healthcare, biomedicine, energy, smart cities, genomics, transportation, etc.). Yet, most of this data is inaccessible to users, as we need technology and tools to find, transform, analyze, and visualize data in order to make it consumable for decision-making. Meaningful data integration in a schema-less, and complex Big Data world of databases on the web is a big open challenge. Semantic computing is being used in the area of data integration. The Linked Open Data (LOD) community effort is an initiative that has led to a huge data space in the form of triples. Linked data is the method of connecting and publishing related structured data on the web. LOD can be used in a number of interesting and useful Web and mobile applications. The focus of this workshop is on recent advances in Semantic computing approaches for data integration and quality.

Topics of interest include, but are not limited to, the following topic areas:

• Schema-based data integration
  
• Schema matching
  
• Traditional Extract-Transform-Load (ETL) frameworks
  
• Ontology-based integration systems,
  
• Graph-based algorithms for data integration
  
• Real-time integration
  
• Schema-less approaches such as NoSQL for data integration
  
• Data quality challenges such as cleaning, record linkage, de-duplication, provenance, and auditing.
  
• Application-specific integration and data quality

Important Dates

Submission Deadline:	:	November 30, 2018
Authors Notification:	:	December 15, 2018
Final Version Due:	:	December 22, 2018



User Name : judy
Posted 08-11-2018 on 21:55:10 AEDT

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