Topics of Interest

For the 38th edition, PODS continues to aim to broaden its scope, and calls for research papers providing original, substantial contributions along one or more of the following aspects: 

• deep theoretical exploration of topical areas central to data management 

• new formal frameworks that aim at providing a basis for deeper theoretical investigation of important emerging issues in data management 

• validation of theoretical approaches from the lens of practical applicability in data management. Papers in this track should provide an experimental evaluation that gives new insight in established theories. Besides, they should provide a clear message to the database theory community as to which aspects need further (theoretical) investigation, based on the experimental findings.

Topics that fit the interests of the symposium include, but are not limited to: 

• concurrency & recovery, distributed/parallel databases, cloud computing

• data and knowledge integration and exchange, data provenance, views and data warehouses, metadata management

• data-centric (business) process management, workflows, web services

• data management and machine learning

• data mining, information extraction, search

• data models, data structures, algorithms for data management

• data privacy and security, human-related data and ethics

• data streams

• design, semantics, query languages

• domain-specific databases (multi-media, scientific, spatial, temporal, text)

• graph databases and (semantic) Web data

• incompleteness, inconsistency, uncertainty in data management

• knowledge-enriched data management

• model theory, logics, algebras, computational complexity