SDI 2023: Workshop on Semantic Data Integration 2023 Laguna Hills, California Laguna Hills, CA, United States, February 1-3, 2023 |
Conference website | http://www.public.asu.edu/~skbansa2/sdi2023.html |
Submission link | https://easychair.org/conferences/?conf=sdi2023 |
Submission deadline | December 7, 2022 |
Semantic Data Integration
There has been 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.
Submission Guidelines
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 2023 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 questions regarding the workshop please contact Srividya Bansal at srividya.bansal@asu.edu.
List of Topics
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
Committees
Program Committee
- TBA
Organizing committee
- Srividya Bansal, Arizona State University, Arizona (email: srividya.bansal@asu.edu)
- Venkat Gudivada, East Carolina University, Greenville, North Carolina (email: gudivadav15@ecu.edu)
Contact
All questions about submissions should be emailed to Srividya Bansal at srividya.bansal@asu.edu