Data, Information and Artificial Intelligence sub-categories

Automated Planning and Scheduling

Data Description and Management

Data Mining

Data Stream Management

Information Integration

Knowledge Representation and Reasoning

Machine Learning

 

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Data, Information and Artificial Intelligence

The Data, Information and Artificial Intelligence cluster of SCI consists of researchers addressing core problems in database systems, information management, information integration and intelligent agent design. Our data management research addresses techniques for replication, indexing, security and query processing in large, backend databases, as well as in systems for sensor data management, scientific data management, Web data and data streams. Information management investigates the use of events, rules, queries and transactions in the orchestration of workflows over data services. Information integration combines techniques from distributed query processing and artificial intelligence to define novel approaches to the retrieval of data from distributed sources. Finally, the artificial intelligence component of our research investigates automated planning, scheduling, constraint satisfaction, reasoning with actions, logic programming, multi-agent systems, data mining, information extraction and the semantic web.

Overview Presentation (Adobe PDF)

Faculty Contacts: Chitta Baral, K. Selcuk Candan, Yi Chen, Hasan Davulcu, Subbarao Kambhampati, Seungchan Kim, Joohyung Lee, Huan Liu, Hari Sundaram, Jieping Ye