programme
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| Keynote Speech |
Situational Business Intelligence
(Volker Markl, Technische Universität Berlin)
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| Session I - Uncertainty and Semantics |
Querying Business Processes Under Models of Uncertainty
(Tova Milo, Tel Aviv University)
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Efficient Management of Inconsistent and Uncertain Data
(Renee J. Miller, University of Toronto)
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On Solving Efficiently the View Selection
Problem under Bag-semantics
(Foto Afrati, NTUA - Matthew Damigos, NTUA -
Manolis Gergatsoulis, Ionian University)
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| Session II - Real-time Processing and Reporting |
QoS-Aware Publish-Subscribe Service for Real-Time
Data Acquisition
(Xinjie Lv, Chinese Academy of Sciences - Xin Li,
Shandong University - Tian Yang, Chinese Academy
of Sciences - Zaifei Liao, Chinese Academy of Sciences
- Wei Liu, Chinese Academy of Sciences - Hongan Wang,
Chinese Academy of Sciences)
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A Near Real-Time Reporting System for Enterprises
Using JavaScript Instrumentation with Inter-Colo Event
Replication
(Timothy Tully, Yahoo!) |
A Hybrid Row-Column OLTP Database Architecture for
Operational Reporting
(Jan Schaffner, University of Potsdam - Anja Bog, University
of Potsdam - Jens Krouger, University of Potsdam - Alexander
Zeier, University of Potsdam)
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| Session III - BI Trends |
The Reality of Real-time Business Intelligence
(Divyakant Agrawal, University of California at Santa Barbara)
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Beyond Conventional Data Warehousing - Massively
Parallel Data Processing with Greenplum Database
(Florian M. Waas, Greenplum)
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Scalable Data-Intensive Analytics
(Meichun Hsu, HP Labs)
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Simplifying Information Integration: Object-Based
Flow-of-Mappings Framework for Integration
(Howard Ho, IBM Almaden Research Center)
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Keynote Speech
Situational Business Intelligence
Traditional business intelligence has focused on creating dimensional models and data warehouses, where after a high modeling and creation cost structurally similar queries are processed on a regular basis. So called "ad-hoc" queries aggregate data from one or several dimensional models, but fail to incorporate other external information that is not considered in the pre-defined data model. In this talk we focus on a different kind of business intelligence, which spontaneousy correlates data from a company's data warehouse with "external" information sources that may come from the corporate intranet, are acquired from some external vendor, or are derived from the internet. Situational applications are usually short-lived programs created for a small group of users with a specific business need. Situational applications are a standard tool for business intelligence, especially for incorporating external information needed to answer business problems. In this talk, we will showcase the state-of-the-art for situational applications as well as the impact of Web 2.0 for these applications. We will also present examples and research challenges that the information management research community needs to address in order to arrive at a platform for situational business intelligence.
About the speaker
Volker Markl is a full professor at Technische Universität Berlin, leading the Database Systems and Information Management Group. Volker Markl received his PhD degree at Technische Universität München. Prior, Dr. Markl lead a research group at FORWISS, the Bavarian Research Center for Knowledge-Based Systems and worked as a research staff member and project leader at IBM's Almaden Research Center. His research areas include indexing, query processing and optimization, information extraction, information integration, and cloud computing. Volker Markl has given more than 100 invited talks at industry, conferences and universities, has published more than 50 papers at world-class scientific venues, and has submitted more than 20 invention disclosures. Volker Markl earned numerous prestigious awards, including the Information Society and Technology Price 2001 awarded by the European Union, an IBM Outstanding Technological Achievement Award, and the Pat Goldberg Best Paper Award.
