VLDB conferences have become a celebrity seat for co-located workshops on topics related to data management. Continuing this tradition, VLDB 2007, to be held in Vienna, Austria, from September 23 to 27, 2007, features a set of co-located workshops.
Registration for workshops will be opened at the end of July.
Sun Sep 23 - Mon Sep 24, 2007, Room 33
The VLDB PhD workshop is a forum for PhD students working in the broad areas addressed by the VLDB conference itself. This forum aims at facilitating interactions among PhD students and at stimulating feedback from more experienced researchers. We particularly encourage students that are somewhere in the middle of their research to submit to this workshop. They should be more or less clear about the problem they want to target and have first ideas on how to solve it. We are explicitly not looking for people who just started or are already close to finishing up their PhD research.
http://www.vldb2007.org/workshops/phd.html
Mon Sept 24, 2007, Small Ceremonial Hall
The aim of the workshop is to explore the promise of P2P to offer exciting new possibilities in distributed information processing and database technologies. The realization of this promise lies fundamentally in the availability of enhanced services, such as structured ways for classifying and registering shared information, verification and certification of information, data distributed schemes and quality of contents, security features, information discovery and accessibility, semantic interoperation and composition of active information services, and finally market-based mechanisms to allow cooperative and non cooperative information exchanges. The P2P paradigm lends itself to constructing large scale complex, adaptive, autonomous and heterogeneous database and information systems, endowed with clearly specified and differential capabilities to negotiate, bargain, coordinate and self-organize the information exchanges in large scale networks. This vision will have a radical impact on the structure of complex organizations (business, scientific or otherwise) and on the emergence and the formation of social communities, and on how the information is organized and processed.
http://dbisp2p.ingce.unibo.it/
Sun Sep 23 - Mon Sep 24, 2007, Room 32
Over the years DBPL has established itself as the main venue for publishing and discussing new ideas at the intersection of database and programming languages research. Many key contributions in query languages for object-oriented data, persistent databases, nested relational data, semistructured data, as well as fundamental ideas in types for query languages have been first announced and discussed at DBPL. Today's emergence of new data management applications like Web services, XML processing, sensor networks and peer to peer data management has lead to a new flurry of creativity in the area lying at the intersection of data management and programming languages, and DBPL is an established destination for such new ideas.
Sun Sept 23, 2007, Room 24
Mining biological data is an emerging area of intersection between bioinformatics and data mining. Bioinformaticians have taken a computational approach to understanding biological phenomena. Because these phenomena are typically characterized by large and increasing amounts of data, divers and unusual data types, and complex relationships, interpreting biological data requires novel approaches that include multiple tools, new algorithms, resources, etc. in an integrated fashion. Data mining has focused on extracting useful information from large database, focusing on scalable, robust algorithms and their implementations. The proposed workshop will respond to both these areas of research by encouraging researchers in the data mining community to bring to bear novel techniques, combinations of tools, and so forth to mine biological data. The objective of the workshop is to facilitate collaboration between data mining researchers and bioinformaticians by presenting cutting edge research topics and methodologies in the area of data mining for bioinformatics. While such research has an interdisciplinary character, this workshop emphasizes on the area of data mining with particular application to bioinformatics.
http://bio.informatics.indiana.edu/VLDB07/
Sun Sept 23, 2007, Room 26
Since the mid nineties and the emergence of Grids, many research activities have been initiated in relation to data management in these dynamic, heterogeneous and cross-organizational environments. The database community can offer her unique expertise in the management of very large, widely distributed databases. Conversely, Grids offer a novel and very exciting field of research for database scientists both in terms of application domains and fundamental research. This workshop is intended to bring together these two communities, and thus to offer a unique workspace for researchers to discuss and exchange ideas about the emerging challenges and opportunities offered by Data Grids.
http://www.irit.fr/~Jean-Marc.Pierson/DMG_VLDB07
Mon Sept 24, 2007, Room 28
The DMSN workshop aims to bring together researchers working on all aspects of sensor data management: from data processing in networks of remote, wireless, resource-constrained sensors to managing heterogeneous, noisy, and sometimes sensitive sensor data in databases. The resource-constrained, lossy, noisy, distributed, and remote nature of sensor networks means that traditional database techniques often cannot be applied without significant re-tooling. Challenges associated with acquiring and processing large-scale, heterogeneous sets of live sensor data also call for novel data management techniques. Finally, in many applications, collecting sensor data raises important privacy and security concerns that require new protection and anonymization techniques. The goal of this workshop is to serve as a forum for publishing and discussing new ideas, system designs, and research results that address these various challenges (and more) of sensor data management.
http://data.cs.washington.edu/dmsn07/
Mon Sept 24, 2007, Room 26
In recent years various vendors have introduced event processing products which are used in a variety of applications and are used for business activity monitoring, time-critical operations within enterprise integration applications, information dissemination systems. Event processing research is derived from multiple disciplines, such as: distributed systems, enterprise architectures, information management, software engineering, programming languages, simulation and business process management. The series of EDA-PS workshops is intended to host a forum that not only brings together researchers and practitioners from academia and industry to look at various aspects of event-driven processing focus, but creates dialogues with different disciplines to focus on aspects related to this discipline. The first EDA-PS workshop was held in Chicago in September 2006, linked to the IEEE services computing conferences (ICWS and SCC), and was intended to create a dialogue with the enterprise architecture community. The second workshop is intended to create a dialogue with the information management community. The intended focus is information management challenges for event processing, including (but not limited to) challenges of high throughput, maintaining large states, retrospective processing, active data warehouses, BI analytics in time constrained systems.
http://www.cc.gatech.edu/projects/disl/conferences/EDAPS/
Mon Sept 24, 2007, Room 24
Databases, modern communication technology, and emerging infrastructures (such as WWW, Semantic Web, Grid, and P2P) are driving forces behind our increasingly interconnected information society. Underpinning the infrastructures is massive and heterogeneous data sets, ranging from classical relational data, to multimedia data, to marked up, unstructured or metadata-rich text. The availability and utility of these data sets necessitates the engineering and maintenance of powerful and intelligent interoperability mechanisms for facilitating large-scale transparent access.
http://www.fundp.ac.be/eco/interdb/2007/
Sun Sept 23, 2007, Room 7
Although preferences have traditionally been studied in fields such as economic decision making, social choice theory and Operations Research, they have nowadays found significant interest in computational fields such as Artificial Intelligence, databases and human-computer interaction. This broadened scope of preferences leads to new types of preference models, new problems for applying preference structures, and new kinds of benefits. The workshop promotes this broadened scope of preference handling and continues a series of multidisciplinary workshops on preference handling which have been very successful. It provides a forum for presenting advances in preference handling and for exchanging experiences between researchers facing similar questions, but coming from different fields. Topics of interest include preference handling in database systems and in AI, applications of preferences, preference elicitation, preference representation and modeling, properties and semantics of preferences, comparison of approaches and interdisciplinary work.
http://www.mycosima.com/vldb2007-preferences/
Mon Sept 24, 2007, Room 30
The aim of the workshop on Management of Uncertain Data is to provide a forum to share original ideas as well as research results and practical development experiences among researchers and application developers. In this workshop we want to explore the various aspects of uncertainty in data as well as techniques how to handle them in the domain of databases. In particular, we are interested in discussing the different kinds of uncertainty, different models for uncertainty representation in databases, techniques for querying and updating data involving uncertainty, and the various application areas in which handling uncertain data is involved.
Sun Sept 23, 2007, Room 30
Data and information quality has become an increasingly important and interesting topic for the database community. Solutions to measure and improve the quality of data stored in databases are relevant for many areas, including data warehouses, scientific databases, and customer relationship management. The QDB 2007 work- shop focuses on practical methods for data quality assessment and data quality improvement. QDB'07 continues and combines the successful three IQIS workshops held at SIGMOD 2004-2006 and the CleanDB workshop held at VLDB 2006.
Mon Sept 24, 2007, Room 7
Although cryptography and security techniques have been around for quite some time, emerging technologies such as ubiquitous computing and ambient intelligence that exploit increasingly interconnected networks, mobility and personalization, put new requirements on security with respect to data management. As data is accessible anytime anywhere, according to these new concepts, it becomes much easier to get unauthorized data access. Furthermore, it becomes simpler to collect, store, and search personal information and endanger people's privacy. Therefore, research in the area of secure data management is of growing importance, attracting attention of both the data management and security research communities The interesting problems range from traditional ones such as access control (with all variations, like dynamic, context-aware, role-based), database security (e.g. efficient database encryption schemes, search over encrypted data, etc.), privacy preserving data mining to controlled sharing of data.
http://www.hitech-projects.com/sdm-workshop/sdm07.html
Sun Sept 23, 2007, Room 28
The International Workshop on Semantic Data and Service Integration (SDSI) is focused on the semantic integration of data and services. Existing data integration techniques enable the interaction between clients and data sources through a centralized access point, and uniform query interfaces that give users the illusion of querying a homogeneous system. However, these techniques work under certain hypotheses, including moderately static scenarios, shared understanding of the domain of interest (in the form of a global schema or ontology), and a closed, or at least access-controlled, set of participating sources. All these hypotheses do not hold anymore in the current Web comprising millions of autonomous peers, having no centralized control. Research is still needed in the direction of providing techniques for schema matching, mapping discovery, query processing, quality and trust management in such environments. Like data integration, service integration has the purpose of providing the final user with a single unied service, hiding the distribution and heterogeneity of the services provided by the single peers. Distributed service oriented architectures are indeed becoming more and more widespread in open information systems. Several techniques need to be developed that serve the purpose of service integration, addressing issues like semantic service discovery, service semantic description, ontology-based matching, service composition and orchestration. We seek research papers describing on-going innovative work as well as case studies on the mentioned data and service integration issues.
http://www.dis.uniroma1.it/~sdsi/
Mon Sept 24, 2007, Elise Richter Hall
The developments of the fields of Semantic Web and Ontologies have reached a level of maturity where the relationship with the field of databases is becoming of paramount importance. This year the organizers of SWDB and ODBIS Workshops have decided to joint their efforts in order to integrate one step further these important areas of research. The objective of the workshop is to present databases and information systems research as they relate to ontologies and semantic web, and more broadly, to gain insight into the semantic web and ontologies as they relate to databases and information systems. It is meant to cover foundations, methodologies and applications of these fields for Databases and Information Systems.
http://lsdis.cs.uga.edu/swdb-odbis07/
Sun Sep 23 - Mon Sep 24, Room 31
The XML Database Symposium (XSym) series focuses on the convergence of database technology with XML technology, and brings together academics, practitioners, users and vendors to discuss the use and synergy between these technologies. We solicit original contributions in the following areas: Core Database Technology for XML Data Management (Full text search and ranking, Approximate XML querying, Query processing and optimization, Indexing and access methods, Access control and security, Storage and compression, Updates and integrity maintenance, Concurrency control and recovery, Performance evaluation, Management of Incomplete information, Data Cleaning), XML and Data Integration (XML query translation, XML and P2P, XML and Web applications, XML schema matching, Mapping and Query Discovery and Evolution, XML and Web services), and Development and deployment of XML Applications (Conceptual design: models and methodologies, expressiveness and usability, Logical design: models and methodologies, expressiveness and usability, Query languages: expressiveness and usability, Streaming XML data).