Emerging multidisciplinary research across database management systems

TL;DR

This paper surveys emerging multidisciplinary research in database management, highlighting intersections with AI, semantics, and data streams, based on doctoral work presented at a major conference.

Contribution

It provides a comprehensive overview of new multidisciplinary topics and open research questions in database systems from recent doctoral research.

Findings

Identification of key multidisciplinary areas like ontology, data streams, and NLP.

Highlighting open research questions in emerging fields.

Showcasing doctoral research trends in database management.

Abstract

The database community is exploring more and more multidisciplinary avenues: Data semantics overlaps with ontology management; reasoning tasks venture into the domain of artificial intelligence; and data stream management and information retrieval shake hands, e.g., when processing Web click-streams. These new research avenues become evident, for example, in the topics that doctoral students choose for their dissertations. This paper surveys the emerging multidisciplinary research by doctoral students in database systems and related areas. It is based on the PIKM 2010, which is the 3rd Ph.D. workshop at the International Conference on Information and Knowledge Management (CIKM). The topics addressed include ontology development, data streams, natural language processing, medical databases, green energy, cloud computing, and exploratory search. In addition to core ideas from the workshop, we list some open research questions in these multidisciplinary areas.