Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

September 30, 2010

Entity Resolution – Journal of Data and Information Quality

Filed under: Entity Resolution,Heterogeneous Data,Subject Identity — Patrick Durusau @ 5:37 am

Special Issue on Entity Resolution.

The Journal of Data and Information Quality is a new journal from the ACM.

Calls for papers should not require ACM accounts for viewing.

I have re-ordered (to put the important stuff first) and reproduced the call below:

Important Dates

  • Submissions due: December 15, 2010
  • Acceptance Notification: April 30, 2011
  • Final Paper Due: June 30, 2011
  • Target Date for Special Issue: September 2011

Resources for authors include:

Topics of interest include, but are not limited to:

  • ER impacts on Information Quality and impacts of Information Quality
    on ER
  • ER frameworks and architectures
  • ER outcome/performance assessment and metrics
  • ER in special application domains and contexts
  • ER and high-performance computing (HPC)
  • ER education
  • ER case studies
  • Theoretical frameworks for ER and entity-based integration
  • Method and techniques for
    • Entity reference extraction
    • Entity reference resolution
    • Entity identity management and identity resolution
    • Entity relationship analysis

Entity resolution (ER) is a key process for improving data quality in data integration in modern information systems. ER covers a wide range of approaches to entity-based integration, known variously as merge/purge, record de-duplication, heterogeneous join, identity resolution, and customer recognition. 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, such as those described by the Fellegi-Sunter Model, 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 ACM Journal of Data and Information Quality (JDIQ) will devote a special issue to innovative and high-quality research papers in this area. Papers that address any aspect of entity resolution are welcome.

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