CALL FOR PAPERS

Special Section on Entity Resolution

Aims and Scope

Entity Resolution (ER) is the task of disambiguating manifestations of real-world entities in various records or mentions by linking and grouping. ER has been recognized as a key process for improving data quality in data integration of modern information systems. ER covers a wide range of approaches to entity-based integration, known variously as record linkage, de-duplication, heterogeneous join, identity resolution, reference matching, etc. More broadly, ER also includes a number of important pre- and post-integration activities, such as entity reference extraction and entity relationship analysis. Based on direct record matching strategies, new theoretical frameworks are evolving to describe ER processes and outcomes that include other types of inferred and asserted reference linking techniques. Businesses have long recognized that the quality of their ER processes directly impacts the overall value of their information assets and the quality of the information products they produce. Government agencies and departments, including law enforcement and the intelligence community, are increasing their use of ER as a tool for accomplishing their missions as well. Recognizing the growing interest in ER theory and practice, and its impact on information quality in organizations, the Journal of Computer Science & Technology (JCST) will devote a special section to innovative high-quality research papers in this area. Papers that address any aspect of entity resolution are welcome.

This special section of JCST journal papers will focus on technologies and solutions related, but not limited to:

*         ER frameworks and architectures;

*         Methods and techniques for entity reference extraction;

*         Methods and techniques for entity reference resolution;

*         Methods and techniques for entity identity management and identity resolution;

*         Methods and techniques for entity relationship analysis;

*         Theoretical frameworks for ER and entity-based integration;

*         ER performance assessment and metrics;

*         Efficiency issues on large-scale ER;

*         ER and high-performance computing;

*         ER in special application domains and contexts.

Besides original research papers, we also strongly encourage high-quality survey papers, systems papers and applications papers.

Schedule

Submission due: January 15, 2020

First review completed: February 25, 2020

Revision due: March 25, 2020

Final decision: April 30, 2020

Final manuscript due: May 9, 2020

Expected publication: July 2020

Submission Procedure

All submissions must be done electronically through JCST's e-submission system at https://mc03.manuscriptcentral.com/jcst, with manuscript type: "Special Section on Entity Resolution".

Leading Editor

Xiaofang Zhou (The University of Queensland, Australia)

Guest Editor

Wen Hua (The University of Queensland, Australia)