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Tuesday, June 2 | Wednesday, June 3 | Thursday, June 4
SSDBM has the tradition of avoiding parallel sessions, to maximize
interactions between the presenters and attendees. This year, we choose to have a different
format than many other conferences, to increase interactions further.
Rather than have short times allocated to presentations (such as 15
minutes each including questions), each session includes overviews of the
remaining papers in the session, followed by an hour or so for posters/demos
of all the papers in that session.
Thus, each session will only have 5-7 posters presented over a lengthy
period that the audience can pick from to listen to, examine, and ask
questions in more depth.
Tuesday, June
2
9:00
Opening & Invited Presentation Marianne Winslett (University of Illinois at
Urbana-Champaign)
·
Welcome Marianne
Winslett (University of Illinois at Urbana-Champaign)
·
The Scientific Data Management
Center: Providing Technologies for Large Scale Scientific Exploration.
Arie Shoshani (Lawrence
Berkeley National Laboratory)
10:00 Break
10:20 Improving the
End-user Experience Marianne
Winslett (University of Illinois at Urbana-Champaign)
·
Query Recommendations for Interactive Database
Exploration. Gloria Chatzopoulou (University of California Riverside), Magdalini Eirinaki (San Jose State
University) and Neoklis Polyzotis
(University of California Santa Cruz)
- Scientific Mashups: Runtime-Configurable
Data Product Ensembles. Bill
Howe (University of Washington), Harrison Green-Fishback and David Maier (Portland State
University)
- View Discovery in OLAP Databases Using Combinatorial
Information Theory. Cliff Joslyn, John Burke and Terence Critchlow (Pacific
Northwest National Laboratory),
Nick Hengartner (Los Alamos National Laboratory) and Emilie Hogan (Rutgers
University)
- Demonstration of a Geoscientific Request Language. Peter Baumann
(Jacobs University Bremen)
- Demonstration of SEEDEEP: A System for Exploring and
Querying Scientific Deep Web Data Sources.
Fan Wang and Gagan Agrawal
(Ohio State University)
12:30 Lunch
2:00 Indexing,
Physical Design, & Energy Tore
Risch (Uppsala University)
- Energy Smart Management of Scientific Data. Ekow
Otoo, Doron Rotem and Shih-Chiang Tsao (Lawrence Berkeley National
Laboratory)
- Finding Regions of Interest in Large Scientific
Datasets. Rishi
Sinha (Microsoft), Marianne
Winslett (University of Illinois at Urbana-Champaign) and Kesheng Wu (Lawrence Berkeley
National Laboratory)
- Data Parallel Bin-Based Indexing for Answering
Queries on Multi-Core Architectures.
Luke
Gosink (University of California
Davis), Kesheng Wu and Wes Bethel (Lawrence
Berkeley National Laboratory),, John
Owens and Kenneth Joy (University of California Davis)
- Adaptive Physical Design for Curated Archives. Tanu
Malik (Purdue University),
Xiaodan Wang (Johns Hopkins University), Debabrata Dash (Carnegie Mellon University), Amitabh Chaudhary (University of
Notre Dame), Randal Burns (Johns
Hopkins University) and Anastasia
Ailamaki (Swiss Federal Institute of Technology)
- MLR-Index: An Index Structure for Fast and Scalable
Similarity Search in High Dimensions. Rahul Malik, Sangkyum Kim, Xin Jin,
Chandrasekar Ramachandran, Jiawei Han, Indranil Gupta and Klara
Nahrstedt (University of Illinois at Urbana-Champaign)
3:30 Break
4:00 Application Experiences Bertram Ludäscher (University of California Davis)
- B-Fabric: An
Open Source Life Sciences Data Management System. Fuat Akal, Can Tuerker, Dieter Joho and Ralph
Schlapbach (Functional Genomics Center
Zurich)
- Covariant Evolutionary Event Analysis for Base
Interaction Prediction Using Relational Database Management System for
RNA. Weijia Xu (University of Texas at
Austin), Stuart Ozer
(Microsoft) and Robin Gutell
(University of Texas at Austin)
- Design and Implementation of Metadata System in
PetaShare. Xinqi
Wang and Tevfik Kosar (Louisiana State University)
- Demonstration of B-Fabric: An Open Source Life Sciences Data Management
System. Fuat Akal, Can Tuerker,
Dieter Joho and Ralph Schlapbach (Functional
Genomics Center Zurich)
6:00 Reception
Wednesday, June 3
9:00 Invited
Presentation Marianne
Winslett (University of Illinois at Urbana-Champaign)
·
What Makes Scientific
Workflows Scientific?
Bertram Ludäscher (University of California Davis)
9:45 Break
10:05 Scientific
Workflow Arie Shoshani
(Lawrence Berkeley National Laboratory)
- Enabling Ad Hoc Queries over Low-Level Scientific
Data Sets. David
Chiu and Gagan Agrawal (Ohio State University)
- Exploring Scientific Workflow Provenance Using
Hybrid Queries over Nested Data and Lineage Graphs. Manish
Anand, Shawn Bowers, Timothy McPhillips and Bertram Ludaescher
(University of California Davis)
- BioBrowsing: Making the Most of the Data Available in
Entrez. Sarah
Cohen-Boulakia and Kevin Masini (Université Paris – Sud)
- Experiment Line: Software Reuse in Scientific
Workflows. Eduardo
Ogasawara and Carlos Paulino (Federal University of Rio de Janeiro), Leonardo Murta (Fluminense
Federal University), Cláudia
Werner and Marta Mattoso (Federal University of Rio de Janeiro)
- Tracking Files in the Kepler Provenance Framework. Pierre
Mouallem (North Carolina State University), Mladen Vouk, Scott Klasky and Norbert Podhorszki (Oak
Ridge National Laboratory) and
Roselyne Barreto (North Carolina State University)
- Using Workflow Medleys to Streamline Exploratory
Tasks. Emanuele
Santos, David Koop, Huy Vo, Erik Anderson, Juliana Freire and Claudio
Silva (University of Utah)
- Data Integration with the DaltOn Framework – A Case
Study. Stefan
Jablonski, Bernhard Volz, M. Abdul Rehman and Oliver Archner (University
of Bayreuth) and Olivier Curé
(Université Paris – Est)
- Demonstration of BioBrowsing: Making the Most of the
Data Available in Entrez. Sarah
Cohen-Boulakia and Kevin Masini (Université Paris – Sud)
- Demonstration of Exploring Scientific Workflow
Provenance Using Hybrid Queries over Nested Data and Lineage Graphs. Manish
Anand, Shawn Bowers, Timothy McPhillips and Bertram Ludaescher (University
of California Davis)
- Demonstration of Experiment
Line: Software Reuse in Scientific Workflows. Eduardo
Ogasawara and Carlos Paulino (Federal University of Rio de Janeiro), Leonardo Murta (Fluminense
Federal University), Cláudia
Werner and Marta Mattoso (Federal University of Rio de Janeiro)
- Demonstration of File Tracking in the Kepler
Provenance Framework. Pierre
Mouallem (North Carolina State University), Mladen Vouk, Scott Klasky and Norbert Podhorszki (Oak
Ridge National Laboratory) and Roselyne
Barreto (North Carolina State University)
- Demonstration of Using Workflow Medleys to Streamline
Exploratory Tasks. Emanuele
Santos, David Koop, Huy Vo, Erik Anderson, Juliana Freire and Claudio
Silva (University
of Utah)
12:30 Lunch
2:00 Query Processing
Cliff Joslyn (Pacific
Northwest National Laboratory)
- Experiences on Processing Spatial Data with MapReduce. Ariel
Cary, Zhengguo Sun, Vagelis Hristidis and Rishe Naphtali (Florida
International University)
- Optimization and Execution of Complex Scientific
Queries over Uncorrelated Experimental Data. Ruslan
Fomkin and Tore Risch (Uppsala University)
- Comprehensive Optimization of Declarative Sensor
Network Queries. Ixent Galpin, Christian Y.
Brenninkmeijer, Farhana Jabeen, Alvaro A. A. Fernandes and Norman W.
Paton (University of Manchester)
- Efficient Evaluation of Generalized Tree-Pattern
Queries with Same-Path Constraints. Xiaoying
Wu and Dimitri Theodoratos (New
Jersey Institute of Technology),
Stefanos Souldatos (National Technical University of Athens), Theodore Dalamagas and Timos Sellis
(Institute for the Management of Information Systems)
- Mode Aware Query Processing. Mingrui
Wei and Elke Rundensteiner (Worcester Polytechnic Institute)
- Evaluating Reachability Queries over Path Collections. Panagiotis
Bouros (National Technical University of Athens), Spiros Skiadopoulos (University of Peloponnese), Theodore Dalamagas, Dimitris
Sacharidis and Timos Sellis (National Technical University of
Athens)
- Demonstration of Comprehensive Optimization
of Declarative Sensor Network Queries. Ixent Galpin, Christian Y.
Brenninkmeijer, Farhana Jabeen, Alvaro A. A. Fernandes and Norman W.
Paton
(University of Manchester)
3:45 Coffee break
4:15 Similarity Search Ekow Otoo (Lawrence Berkeley National Laboratory)
- Finding Structural Similarity in Time Series Data
Using Bag-of-Patterns Representation. Jessica
Lin and Yuan Li (George Mason University)
- Easing the Dimensionality Curse by Stretching Metric
Spaces. Ives Pola, Agma Traina and
Caetano Traina (University of Sao Paulo at
Sao Carlos)
- Probabilistic Similarity Search for Uncertain Time
Series. Johannes
Aßfalg, Hans-Peter Kriegel, Peer Kröger and Matthias Renz
(Ludwig-Maximilians-Universität München)
- Reverse k-Nearest Neighbor Search Based on Aggregate
Point Access Methods. Hans-Peter
Kriegel, Peer Kröger, Matthias Renz and Andreas Zuefle
(Ludwig-Maximilians-University of Munich)
6:00 Banquet
Thursday, June 4
9:00 Keynote Address Marianne Winslett (University of Illinois at
Urbana-Champaign)
·
Cloud Computing for
Science. Kate Keahey (University of Chicago and
Argonne National Laboratory)
10:00 Break
10:20 Data Mining Kesheng Wu (Lawrence Berkeley National Laboratory)
- Cor-Split: Defending Privacy in Data Re-Publication
from Historical Correlations and Compromised Tuples. Daniele
Riboni and Claudio Bettini (Università
di Milano)
- Split-Order Distance for Clustering and
Classification Hierarchies. Qi
Zhang, Eric Yi Liu, Abhishek Sarkar and Wei Wang (University of
North Carolina at Chapel Hill)
- Classification with Unknown Classes. Chetan
Gupta, Song Wang, Umeshwar Dayal and Abhay Mehta (Hewett-Packard Labs)
- HSM: Heterogeneous Subspace Mining in High
Dimensional Data. Emmanuel
Müller (RWTH Aachen University),
Ira Assent (Aalborg
University) and Thomas Seidl
(RWTH Aachen University)
- Combining Multiple Interrelated Streams for
Incremental Clustering. Zaigham
Faraz Siddiqui and Myra Spiliopoulou (Otto-von-Guericke-University
of Magdeburg)
- Improving Relation Extraction by Exploiting
Properties of the Target Relation. Eric
Normand, Kevin Grant, Elias Ioup and John Sample (Naval Research
Laboratory)
- A Bipartite Graph Framework for Summarizing Binary,
Categorical and Numeric High-Dimensional Data. Guanhua
Chen, Xiuli Ma, Dongqing Yang, Shiwei Tang and Meng Shuai (Peking
University)
12:00 Lunch
1:30 Spatial Data
Vagelis Hristidis
(Florida International University)
- Region Extraction and Verification for Spatial and
Spatio-Temporal Databases. Mark McKenney (Texas
State University)
- Identifying Most Endangered Objects from Spatial
Datasets. Hua
Lu and Man Lung Yiu (Aalborg University)
- Constraint-based Learning of Distance Functions for
Object Trajectories. Wei
Yu (University of California Davis) and Michael Gertz (University of Heidelberg)
2:30 Conference
ends
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