Third International Workshop on
Semantic Data Integration (SDI '20)
in conjunction with
The 14th IEEE International Conference on Semantic Computing
Feb 3 - Feb 5, 2020 - San Diego, California, USA
The 14th IEEE International Conference on Semantic Computing
Feb 3 - Feb 5, 2020 - San Diego, California, USA
CALL FOR PAPERS
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 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.
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 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
The topics of interest within the context of this workshop include Semantic computing approaches for data extraction, integration, cleaning, and quality, but are not limited to:
The topics of interest within the 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
- Knowledge Graphs
- 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
December 18, 2019 Submission deadline (extended)
December 23, 2019 Notification of acceptance
December 31, 2019 Camera-Ready Submission & Registration Deadline
Feb 5, 2020 Workshop (subject to conference schedule)
December 18, 2019 Submission deadline (extended)
December 23, 2019 Notification of acceptance
December 31, 2019 Camera-Ready Submission & Registration Deadline
Feb 5, 2020 Workshop (subject to conference schedule)
Workshop Program
February 5, 2020 from 1:30 pm to 3:00 pm (PST)
Paper Title: Analyzing Manufacturing Data in a Digital Control Room Making Use of Semantic Annotations.
Authors: Jessica Rubart, Benjamin Lietzau and Patrick Söhlke.
Paper Title: Intelligent Active and Passive Learning for Integrated Semantic Computing for Vision Data Annotation.
Authors: Irene Erlyn Wina Rachmawan, Yasushi Kiyoki and Xing Chen.
Paper Title: A Framework for Entity Extraction and Summarization.
Authors: Sarthak Tiwari, Bharat Goel, and Srividya Bansal.
Organizing Committee
- Srividya Bansal, SCIDSE, Arizona State University, Mesa, AZ (email: srividya.bansal@asu.edu)
- Venkat Gudivada, East Carolina University, Greenville, North Carolina (email: gudivadav15@ecu.edu)
- Ajay Bansal, SCIDSE, Arizona State University, Mesa, AZ (email: ajay.bansal@asu.edu)
- Junhua Ding, University of North Texas, Denton, TX (email: junhua.ding@unt.edu)
Submission
Authors are invited to submit a paper up to 6 pages (in English) in double-column IEEE format following the submission guidelines available at the ICSC 2020 web page.
Papers must be original and not be submitted to or accepted by any other conference or journal. An electronic version (PDF format) of the full paper should be submitted by the deadline. All papers should be submitted through Easychair.
Each paper will be peer-reviewed by at least two experts in the topical area. Papers accepted by the workshop will be published in the conference proceedings published by IEEE Computer Society Press.
For any question regarding the workshop please contact Srividya Bansal at srividya.bansal@asu.edu.
Authors are invited to submit a paper up to 6 pages (in English) in double-column IEEE format following the submission guidelines available at the ICSC 2020 web page.
Papers must be original and not be submitted to or accepted by any other conference or journal. An electronic version (PDF format) of the full paper should be submitted by the deadline. All papers should be submitted through Easychair.
Each paper will be peer-reviewed by at least two experts in the topical area. Papers accepted by the workshop will be published in the conference proceedings published by IEEE Computer Society Press.
For any question regarding the workshop please contact Srividya Bansal at srividya.bansal@asu.edu.