DANTE

FOCUS

The research focus of DANTE can be broadly classified into two categories, namely core research and interface research. In core research, we explore fundamental problems in managing growing volumes of non-traditional data that are of significance in the 21^st century. In particular, DANTE focuses on several interesting issues such as efficient storage, indexing, and query processing strategies for complex data types (tree and graph structured data, geo-spatial data, data streams, social data, Web data, mobile data etc.); integration of information retrieval and database search; large-scale data analytics; human-data interaction; and information privacy.

Interface research, on the other hand, focuses on multi-area research by exploring novel problems that take place at the interfaces of traditional data management and across traditional area or subject boundaries. We believe that novel multidisciplinary research is needed to solve many of the major research challenges of 21^st century. Specifically, we explore areas that are at the intersection of data management and human-computer interaction (HCI), artificial intelligence (AI), social psychology, adult learning, and system biology.

 

Current Areas

Graph data management

Spatial data management

Responsible data management

Vector data management

Data series management

Data analytics

Human-data interaction

Data quality & provenance

Key-value stores

Graph learning

Data management & AI

Data management & psychology

Data management & education

Data management & HCI

FUNDED BY

MOE Tier 2

MOE Tier 1

Singtel-NTU Grant

SMA-CSB

NAP Grant

NTU-Webank Grant

NTU-Alibaba Grant