Database and Information Systems (DBIS)         Department of Computer Science at the University of California, Davis

	The database and information systems group is conducting various multi-disciplinary projects not only with researchers in Computer Science but also researchers in environmental and atmospheric sciences, ecology, climatology, remote-sensing, geology, bioinformatics, and many other disciplines. The projects below give a good overview of what type of fundamental and cutting-edge research our group is doing and how data management and database models, techniques, and architectures are applied in respective project areas.
	Current Projects
		COMET: COast-to-Mountain Environmental Transect (Gertz/Ludäscher) This NSF-funded project will develop a state-of-the-art cyberinfrastructure to facilitate climate research in a transect spanning from Bodega Bay to Lake Tahoe. The cyberinfrastructure will be based around the integration of access to distributed and varied data collections and sensor data streams, semantic registration of data, models and analysis tools, semantically-aware data query mechanisms, and an orchestration system for advanced scientific workflows. Access to this cyberinfrastructure will be provided through a Web-based portal.
		GeoStreams (Gertz) This NSF funded research project is developing models, techniques, and architectures for the adaptive processing of real-time remotely-sensed, streaming geospatial image data, in particular from the National Oceanic and Atmospheric Administration’s  (NOAA) Geostationary Operational Environmental Satellite (GOES).
		GEON (Ludäscher) The Geosciences Network (GEON) project is a collaboration among a dozen PI institutions and a number of other partner projects, institutions, and agencies to develop cyberinfrastructure in support of an environment for integrative geoscience research. GEON is funded by the NSF Information Technology Research (ITR) program.
		Kepler (Ludäscher) The Kepler project's overall goal is to produce an open-source scientific workflow system that allows scientists to design scientific workflows and execute them efficiently using emerging Grid-based approaches to distributed computation. Kepler is based on the Ptolemy II system for heterogeneous, concurrent modeling and design. Ptolemy II was developed by the members of the Ptolemy project at UC Berkeley.
		SEEK (Ludäscher) The Science Environment for Ecological Knowledge (SEEK) is a five year initiative designed to create cyberinfrastructure for ecological, environmental, and biodiversity research and to educate the ecological community about ecoinformatics. SEEK participants are building an integrated data grid (EcoGrid) for accessing a wide variety of ecological and biodiversity data and analytical tools (Kepler) for efficiently utilizing these data stores to advance ecological and biodiversity science.
		Temporal Information Retrieval (Gertz) Time has been a subject of study in many disciplines particulary in philosophy, physics, and art. Time is an important dimension of any information space, and it can be very useful in information retrieval. A quick look at any of the current search engines shows that the temporal aspect is restricted to sort the hit list by the date attribute only. In this project, we study different ways in which temporal information explicit or implicit in documents and document collections can be used to cluster hit-lists based on time, profile documents based on their time properties, and explore search results using timelines.
		Security Analysis and Re-engineering of Databases (Gertz) This research project is concerned with the development of models, techniques and architectures to analyze various security aspects of mission critical (relational) databases that are embedded in complex information system infrastructures. Through a comprehensive data and user profiling framework, up-to-date policies can be derived and mapped to enforcing security mechanisms, such as database views, triggers, and general access controls.
	Past Projects
		Truthsayer (Gertz) In this NSF ITR funded project, authentic publication schemes are developed in which a data owner employs a (possibly untrusted) data publisher to answer queries from clients on behalf of the owner. In addition to query answers, publishers provide clients with verification objects a client uses to verify whether the answer is the same as the owner would have provided.

Database and Information Systems Research Group (DBIS), Department of Computer Science, One Shields Avenue, University of California at Davis, Davis, CA 95616, U.S.A.

Last modified: Mon July 3 14:10:11 PDT 2007