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Registration |
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VLDB Co-located Workshops |
SDM Location: 320C |
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VLDB Co-located Workshops |
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VLDB Co-located Workshops |
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Welcome Reception |
Location : Jangbogo Hall |
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Opening Ceremony |
Location : 401 |
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Keynote Address 1 |
Location: 401 Abstract: There is a fundamental transformation that is taking place on the web around information composition through mashups. We first describe this transformation and then assert that this will also affect enterprise architectures. Currently the state-of-the-art in enterprises around information composition is federation and other integration technologies. These scale well, and are well worth the upfront investment for enterprise class, long-lived applications. However, there are many information composition tasks that are not currently well served by these architectures. The needs of Situational Applications (i.e. applications that come together for solving some immediate business problems) are one such set of tasks. Augmenting structured data with unstructured information is another such task. Our hypothesis is that a new class of integration technologies will emerge to serve these tasks, and we call it an enterprise information mashup fabric. In the talk, we discuss the information management primitives that are needed for this fabric, the various options that exist for implementation, and pose several, currently unanswered, research questions. |
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Research 1: Continuous Query Processing |
Location: 401 |
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Research 2: Schema Mapping |
Location: 310 |
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Industry 1 : Query Processing Engines |
Location: 311 |
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Tutorial 1: Foundations of Automated Database Tuning |
Location : 320 |
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Demo Group A: Query & Search |
Location: 321 |
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Lunch |
Location : Jangbogo Hall |
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Research 3: XML Processing |
Location: 401 |
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Research 4: Security & Privacy |
Location: 310 |
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Research 5: Sensor Data |
Location: 311 |
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Tutorial 1: Foundations of Automated Database Tuning |
Location : 320 |
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Demo Group B: Data Integration |
Location: 321 |
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Research 6: Query Processing Tradeoffs |
Location: 401 |
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Research 7: Indexing |
Location: 310 |
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Industry 2: Decision Support |
Location: 311 |
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Demo Group C: Data Mining & Stream Processing |
Location: 321 Title: GMine: A System for Scalable, Interactive Graph Visualization and Mining Title: Entirely Declarative Sensor Network Systems Title: R-SOX: Runtime Semantic Query Optimization over XML Streams |
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Keynote Address 2 |
Location: 401 Abstract: As a leading provider of applications and application infrastructure software, SAP has been always interested in the entire spectrum of enterprise data management from transactional to analytical, structured and unstructured, as well as high-volatility event data streams. The underlying architecture for enterprise applications has fundamentally changed in the last decade, with the adoption of service-oriented architectures representing the latest shift. However, DBMS architecture has not evolved sufficiently to meet the challenges that these new application characteristics pose. As a result, at SAP we have been rethinking the way enterprise applications manage their data. In this talk, we will present some key aspects of this rethinking. We will start with a description of the shift in application architecture and the challenges that this shift poses on data management. We will then describe the failings of a single overarching DBMS architecture against these needs, and then describe some examples of usage-specific data management in enterprise application platforms. In particular we will focus on our approach to managing analytical, transactional and master data. We will present some results that describe how, with a combination of better utilization of main-memory based data management techniques, addressing the needs of the next generation application infrastructure and advances in the underlying computing and storage infrastructure, we can do significantly more efficient data management. |
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Research 8: XML Query Processing |
Location: 401 |
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Research 9: Schema Matching |
Location: 310 |
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Research 10: New Applications |
Location: 311 Title: Query Optimization over Web Services |
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Tutorial 2: Streaming in a Connected World |
Location : 320 |
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Demo Group D: XML & The Web |
Location: 321 Title: Crimson: A Data Management System to Support Evaluating Phylogenetic Tree Reconstruction Algorithms |
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Lunch |
Location : O'Kims Restaurant |
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Research 11: OLAP |
Location: 401 |
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Research 12: Linking & Search |
Location: 310 |
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Industry 3: Engine Infrastructure |
Location: 311 Title: Mapping Moving Landscapes by Mining Mountains of Logs: Novel
Techniques for Dependency Model Generation |
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Tutrorial 2: Streaming in a Connected World |
Location : 320 |
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Demo Group E: System Issues |
Location: 321 Title: Simple and Realistic Data Generation Title: XCheck: A Platform for Benchmarking XQuery Engines |
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Research 13: Top-k Queries |
Location: 401 |
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Research 14: Performance & Tuning |
Location: 310 |
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Research 15: Scientific Applications |
Location: 311 |
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Panel: One Platform for Mining Structured & Unstructured Data: Dream or Reality? |
Location: 320 |
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Demo Group A: Query & Search(repeat) |
Location: 321 |
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Conference Banquet |
Location : Grand Ballroom |
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Ten-Year Best Paper Award Talk Session |
Location : 401 Abstract : Data integration is a pervasive challenge faced in applications that need to query across multiple autonomous and heterogeneous data sources. Data integration is crucial in large enterprises that own a multitude of data sources, for progress in large-scale scientific projects, where data sets are being produced independently by multiple researchers, for better cooperation among government agencies, each with their own data sources, and in offering good search quality across the millions of structured data sources on the World-Wide Web. Ten years ago we published ''Querying Heterogeneous Information Sources using Source Descriptions'', a paper describing some aspects of the Information Manifold data integration project. The Information Manifold and many other projects conducted at the time have led to tremendous progress on data integration and even to quite a few commercial data integration products. This talk and associated paper offer a perspective on the contributions of the Information Manifold and its peers, describes some of the important bodies of work in the data integration field in the last ten years, and outlines some challenges to data integration research today. Bio of the speaker: Dr. Alon Halevy received his Bachelors degree in Computer Science and Mathematics from the Hebrew University in Jerusalem in 1988, and his Ph.D in Computer Science from Stanford University in 1993. From 1993 to 1997, Dr. Halevy was a principal member of technical staff at AT&T Bell Laboratories, and then at AT&T Laboratories. He joined the faculty of the Computer Science and Engineering Department at the University of Washington in 1998. Dr. Halevy's research interests are in data integration, semantic heterogeneity, personal information management, management of XML data, web-site management, peer-data management systems, query optimization, database theory, knowledge representation, and more generally, the intersection between Database and AI technologies. His research developed several systems, such as the Information Manifold data integration system, the Strudel web-site management system, and the Tukwila XML data integration system. He was also a co-developer of XML-QL, which later contributed to the development of XQuery standard for querying XML data. In 1999, Dr. Halevy co-founded Nimble Technology, one of the first companies in the Enterprise Information Integration space. In 2004, Dr. Halevy founded Transformic Inc., a company that creates search engines for the deep web, content residing in databases behind web forms. Dr. Halevy was a Sloan Fellow (1999-2000), and received the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2000. He serves on the editorial boards of the VLDB Journal, the Journal of Artificial Intelligence Research (currently, a member of the advisory committee), and ACM Transactions on Internet Technology. He served as the program chair for the ACM SIGMOD 2003 Conference, and has given several keynotes at top conferences. Anand Rajaraman is a co-founder of Kosmix, a company creating the next generation of web search technology. Anand also is Founding Partner of Cambrian Ventures, a venture capital firm that invests in disruptive new technologies. Before Cambrian, Anand was Director of Technology at Amazon.com, where he was responsible for technology strategy. Anand helped launch the transformation of Amazon.com from a retailer into a retail platform, enabling third-party retailers to sell on Amazon.com's website. Third-party transactions now account for almost 25% of all US transactions, and represent Amazon's fastest-growing and most profitable business segment. Anand came to Amazon.com in 1998 through the acquisition of Junglee, a database technology company where he was co-founder and CTO. Junglee created Virtual Databases that combined information from across the web, and pioneered several markets including online comparison shopping and online classifieds search. |
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Research 16: XML Views & Filtering |
Location: 401 |
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Research 17: Sampling & Stream Processing |
Location: 310 |
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Industry 4: Speakers from Korean Government & Industry |
Location : 311 Title: IT839 Policy Leading to u-Korea Title: Home Network: Road to Ubiquitous World Title: Advances in Memory Technology |
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Tutorial 3: Query Co-Processing on Commodity Processors |
Location : 320 |
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Demo Group B: Data Integration (repeat) |
Location: 321 |
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Business Lunch |
Location : 401 |
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Best Paper Award |
Location : 401 |
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Research 18: Algorithms & Data Mining |
Location: 401 |
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Research 19: Information Integration |
Location: 310 |
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Research 20: Reliability |
Location: 311 |
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Tutorial 3: Query Co-Processing on Commodity Processors |
Location : 320 |
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Demo Group C: Data Mining & Stream Processing (repeat) |
Location: 321 Title: GMine: A System for Scalable, Interactive Graph Visualization and Mining Title: Entirely Declarative Sensor Network Systems Title: R-SOX: Runtime Semantic Query Optimization over XML Streams |
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Research 21: Query Processing |
Location: 401 |
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Research 22: Stream Load Management |
Location: 310 |
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Industry Panel: Globalization: Challenges to Database Community |
Location : 311
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Tutorial 4: A Decade of Progress in Indexing and Mining Large Time Series Databases |
Location : 320 |
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Demo Group D: XML & The Web (repeat) |
Location: 321 Title: Crimson: A Data Management System to Support Evaluating Phylogenetic Tree Reconstruction Algorithms |
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Research 23: Data Cubes |
Location: 304 |
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Research 24: Compression & Compaction |
Location: 310 |
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Industry 5 : XML Tools and Experience |
Location: 311 |
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Research 25: Indexing for Spatial & Sequence Data |
Location: 320 |
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Demo Group E: System Issues(repeat) |
Title: Simple and Realistic Data Generation Title: XCheck: A Platform for Benchmarking XQuery Engines |
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Research 26: Query Optimization |
Location: 304 |
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Research 27: Lineage & Data Quality |
Location: 310 Title: Quality Views: Capturing and Exploiting the User Perspective on Data Quality |
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Research 28: Search Applications |
Location: 311 |
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Tutorial 5: Randomized Algorithms for Matrices and Massive Data Sets |
Location : 320 |
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VLDB 2006 Official Conference Tour |
Tour cost : Free of charge |
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