SDI 2018 - Second International Workshop on ​Semantic Data Integration

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
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The topics of interest within context of this workshop include Semantic computing approaches for data extraction, integration, cleaning, and quality, but are not limited to:
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