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Research
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Zachary G. Ives
Associated Faculty, Penn Center for
Bioinformatics
Teaching CIS 555 in Spring 2008
Office hours for Spring 2008 semester: TBA
Contact Information
576 Levine Hall North
Computer and Information Science Department
University of Pennsylvania
3330 Walnut Street
Philadelphia, PA 19104-6389
zives @ atcis.upenn.edu
(215) 746-2789 Fax: (215) 898-0587
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Biographical Sketch
Zachary Ives is an Assistant Professor at the University of Pennsylvania and an
Associated Faculty Member of the Penn Center for Bioinformatics. He received
his B.S. from Sonoma State University and his PhD from the University of
Washington. His research interests include data integration, peer-to-peer
models of data sharing, processing and security of heterogeneous sensor
streams, and data exchange between autonomous systems. He is a recipient of the
NSF CAREER award and a member of the 2006 (first) DARPA Computer Science Study Panel.
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Research
My research interests lie in the areas of databases and distributed systems,
especially as they relate to the Web, Web-scale information sharing, and
distributed networks of devices (e.g., sensors, actuators). I am a member of
the database, wireless/mobile systems, and
systems research groups at Penn.
I lead and participate in a number of projects that relate to these topics,
focused on making it easier to exchange, locate, and analyze networked information.
- ORCHESTRA focuses on the problem of
collaborative data sharing. Our goal is to support loose confederations of
databases or data warehouses in which the members want to share information,
although they have different schemas and different ideas of what is the "right"
content. Perhaps each site is
independently updating the contents of its database, often making corrections
and amendments -- as commonly occurs in bioinformatics and other settings. The major challenge is how to -- in a peer-to-peer like system
with no central control -- propagate and translate the updates from one participant to
another and allow each site to override updates from elsewhere. Our
goal is to support environments in which the local participant has
complete control of his or her data and schema, but can import data from
elsewhere in a "managed" fashion. Within this context, we are studying a
number of problems relating to update translation and propagation, peer-to-peer
system architectures, distributed update translation, and distributed query
processing.
- SHARQ (Sharing
Heterogeneous, Autonomous Resources and Queries) is a large-scale data sharing
project focusing on bioinformatics. It leverages the core Orchestra engine,
but also adds an intuitive user interface for rapidly authoring -- and altering
-- queries, plus a portal (SHARQ Guide) that offers both keyword search and
browse access to data sources, schemas, and queries.
- Aspen addresses the problem of programming and
integrating large-scale and complex sensor networks. The system focuses on a
setting in which large numbers of distributed sensors, with varying
capabilities, must be coordinated in order to manage and reason about
collections of physical entities and phenomena. My focus is on sensor
integration, i.e., integration of data streams from multiple sensor (and
other) sources. We are also interested in the impact of sensor networks on
reasoning about security. See the wireless and mobile systems page here for more information.
Acknowledgments: My research is funded through grants from NSF
(CAREER #IIS-0477972, SEIII #IIS-0513778, III #IIS-0713267, NOSS #CNS-0721541), DARPA (#HR0011-06-1-0016), Penn
ISTAR, Lockheed Martin, and software donations from MarkLogic, Electric Software, and IBM Corp.
Selected recent courses and seminars:
Detailed information is here.
Publications
To appear:
- A Substrate for In-Network Sensor Data Integration, with Svilen
Mihaylov, Marie Jacob, and Sudipto Guha. Accepted for publication, DMSN 2008.
- Learning to Create Data-Integrating Queries, with Partha Pratim
Talukdar, Marie Jacob, M. Salman Mehmood, Koby Crammer, Fernando Pereira,
and Sudipto Guha, to appear, VLDB 2008.
- Bidirectional Mappings for Data and Update Exchange, with Grigoris
Karvounarakis, to appear, WebDB 2008.
- Invited entries on Adaptive stream
processing, Updates in P2P systems,
and XML publishing for the upcoming
Encyclopedia of Database Systems, edited by Ling Liu and M. Tamer Ozsu, soon to
be available from Springer.
Selected recent publications:
- Sideways Information Passing for Push-Style Query Processing, with
Nicholas Taylor. ICDE 2008, Cancun, Mexico.
- DBpedia: a Nucleus for a Web of Open Data, with Soeren Auer,
Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak.
ISWC/ASWC In-Use Track, 2007.
- Adaptive
Query Processing, with Amol Deshpande, Vijayshankar Raman. Tutorial, VLDB 2007. Slides
- Update Exchange with Mappings and Provenance, with Todd J. Green,
Grigoris Karvounarakis, and Val Tannen. VLDB 2007.
- The Case for a Unified Extensible Data-centric Mobility
Infrastructure, with Yun Mao, Boon Thau Loo, Jonathan M. Smith.
MobiArch 2007.
- Adaptive Query Processing, with Amol
Deshpande and Vijayshankar Raman. Foundations and Trends in
Databases, Vol. 1 No. 1, 2007. Hardcopy available at a discount from Now
Publishers; see here.
- ORCHESTRA: Facilitating Collaborative Data
Sharing, with TJ Green, Nick Taylor, Grigoris Karvounarakis, Olivier Biton,
Val Tannen. Demonstration description, SIGMOD 2007.
- Security in Sensor Networks: More Interesting than You Think, with
Madhukar Anand, Eric Cronin, Micah Sherr, Matt Blaze, and Insup Lee. Usenix
Workshop on Hot Topics in Security, 2006.
- Reconciling while Tolerating Disagreement in Collaborative Data
Sharing, with Nick Taylor. SIGMOD 2006.
- Schema Mediation for Large-Scale
Data Sharing, with Alon Halevy, Dan Suciu,
Igor Tatarinov.
VLDB Journal, Vol 14 No 1, March 2005.
- ORCHESTRA: Rapid, Collaborative Sharing of Dynamic Data,
with Nitin Khandelwal, Aneesh Kapur, Murat Cakir. CIDR, January, 2005,
Asilomar, CA.
- Adapting to Data Integration Source
Properties, with Alon Halevy and Dan Weld.
ACM SIGMOD Conference on Management of Data, June 2004, Paris, France.
- The Piazza Peer Data Management System, with Alon Halevy, Jayant
Madhavan,
Peter Mork, Dan Suciu, Igor Tatarinov.
IEEE Transactions on Knowledge & Data Engineering, Vol 16 No 7, July
2004, 787-798.
A complete list is here.
PhD Student Collaborators
Frequent Faculty Collaborators
A complete list of advisees is here.
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