7th International Workshop on
Semantic Data Integration (SDI '24)
in conjunction with
The 18th IEEE International Conference on Semantic Computing (ICSC 2024)
Feb 5 - Feb 7, 2024
Laguna Hills, California
Format: Hybrid event
The 18th IEEE International Conference on Semantic Computing (ICSC 2024)
Feb 5 - Feb 7, 2024
Laguna Hills, California
Format: Hybrid event
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
- Social event detection using Linked Data
- Ontology Alignment/Matching
- Multilinguality using Linked Data
- Entity extraction, Information extraction
- Recommendation systems based on linked data
- Question Answering using Linked Data
- Application-specific integration and data quality
Important Dates
Submission deadline: (extended) December 15, 2023
Camera-Ready Submission & Registration: (extended) December 20, 2023
Workshop Date: Feb 7, 2024
(all deadlines are at 11:59pm U.S. Pacific time)
Submission deadline: (extended) December 15, 2023
Camera-Ready Submission & Registration: (extended) December 20, 2023
Workshop Date: Feb 7, 2024
(all deadlines are at 11:59pm U.S. Pacific time)
Workshop Program
TBA
Organizing Committee
- Srividya Bansal, School of Computing and Augmented Intelligence, Arizona State University, Mesa, AZ (email: srividya.bansal@asu.edu)
- Venkat Gudivada, University of Silicon Andhra (UofSA), Greenville, North Carolina (email: gudivadav15@ecu.edu)
Program Committee
TBA
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 2024 web page (https://www.ieee-icsc.org/submission).
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 2024 web page (https://www.ieee-icsc.org/submission).
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.