VLDB 2013 Logo,  Design by Sakis Palpana


Monday, Aug 26th, 2013

  • ADMS 2013, Fourth International Workshop on Accelerating Data Management Systems using Modern Processor and Storage Architectures
    The objective of the one-day workshop is to understand impact of modern hardware technologies on accelerating core components of data management workloads (which include traditional OLTP, data warehousing/OLAP, ETL, Streaming/Real-time workloads, Business Analytics workloads such as text analytics, data mining, machine learning, graph analytics, RDF Processing, and big data processing) using modern processors (e.g., commodity and specialized Multi-core, GPUs, and FPGAs), storage systems (e.g., Storage-class Memories like SSDs and Phase-change Memory), and hybrid programming models like CUDA, OpenCL, and OpenACC. Specifically, the workshop hopes to explore the interplay between overall system design, core algorithms, query optimization strategies, programming approaches, performance modelling and evaluation, etc., from the perspective of data management applications.

  • BIRTE 2013, Seventh International Workshop on Real-Time Business Intelligence
    In today's competitive and highly dynamic environment, analyzing data to understand how the business is performing and to predict outcomes and trends has become critical. The traditional approach to reporting is no longer adequate. Instead users now demand easy-to-use intelligent platforms and applications capable of analyzing real-time data to provide insight and actionable information at the right time. The end goal is to support better and timelier decision making, enabled by the availability of up-to-date, high quality information. Although there has been progress in this direction and many companies are introducing products towards meeting this goal, there is still a long way to go. In particular, the whole lifecycle of business intelligence requires innovative techniques and methodologies capable of dealing with the requirements imposed by these new generation of BI applications. From the capture of real-time business data to the transformation and delivery of actionable information, all the stages of the Business Intelligence (BI) cycle call for new algorithms and paradigms to support value-added functionalities. These functionalities include dynamic integration of real-time data feeds from operational sources, optimization and evolution of ETL transformations and analytical models, and dynamic generation of adaptive real-time dashboards, just to name a few. The series of BIRTE workshops, starting in 2006, have always been held in conjunction with VLDB. The series aims to provide a forum to discuss topics related to this emerging field and set research directions towards making business intelligence more real-time. Following the success of previous BIRTE editions (2006, 2008-2012) submissions for research, industrial and position papers on relevant topics are encouraged.

  • DBCrowd 2013, First VLDB Workshop on Databases and Crowdsourcing
    Crowdsourcing systems, such as Amazon Mechanical Turk and CrowdFlower, utilize human power to perform difficult tasks, such as entity resolution, search, filtering, image matching, or clustering. The important issues of collecting and managing the large volume of data in these applications have attracted plenty of attention from the database community. The goal of DBCrowd 2013, the First VLDB Workshop on Databases and Crowdsourcing, is to provide an avenue for database researchers and practitioners to disseminate and explore new research directions and promising results at the confluence of crowdsourcing and database areas.

  • IMMoA 2013, 3rd International Workshop on Information Management in Mobile Applications
    The increasing functionality and capacity of mobile devices have enabled new mobile applications which require new approaches for data management. Information management in mobile applications is a complex problem space which requires the consideration of constraints on energy, CPU power, storage, etc. In addition, mobile data can have various forms, such as sensor data, user profiles & user context, spatial data, and multimedia data. The International Workshop on Information Management for Mobile Applications aims at a broad range of mobile application fields and wants to provide a forum for the discussion about technologies and mechanisms, which support the management of mobile, complex, integrated, distributed, and heterogeneous data-focused applications.

  • IMDM 2013, 1st Workshop on In-memory Data Management and Analytics
    Over the last 30 years, memory prices have been dropping by a factor of 10 every 5 years. Main memory is the “new disk” for data storage. The number of I/O operations per second (IOPS) in DRAM is far greater than other storage media such as hard disks and SSDs. DRAM is readily available in the market at better price point in comparison to DRAM-alternatives. These trends make DRAM a better storage media for latency-sensitive data management applications, large-scale web applications, and future applications such as wearable devices. The first international workshop on In-memory Memory Data Management and Analytics (IMDM 2013) aims to bring together researchers and practitioners interested in the proliferation of in-memory data management and analytics infrastructures. The workshop is a forum to present research challenges, novel ideas and methodologies that can improve in-memory (main memory) data management and analytics. The proceedings of IMDM 2013 are planned to be published by Springer-Verlag as Lecture Notes in Computer Science (LNCS).

  • QDB 2013, 11th International Workshop on Quality in DataBases
    The problem of poor data quality in databases, data warehousing and information systems largely and indistinctly affects every application domain. Many data processing tasks (such as information integration, data sharing, information retrieval, and knowledge discovery from databases) require various forms of data preparation and consolidation with complex data processing techniques, because the data input to the algorithms is assumed to conform to nice data distributions, containing no missing, inconsistent or incorrect values. This leaves a large gap between the available "dirty" data and the available machinery to process the data for application purposes. Building on the established tradition of nine previous international workshops on the topic of Data and Information Quality, namely IQIS 2004-2006, CleanDB 2006 and QDB 2007-2012, the 2013 Quality in Databases (QDB) workshop, co-located with VLDB2013, is a qualified forum for presenting and discussing novel ideas and solutions related to the problems of assessing, monitoring, improving, and maintaining the quality of data.

  • TPCTC 2013, TPC Technology Conference on Performance Evaluation and Benchmarking
    The TPC has played, and continues to play, a crucial role in providing the computer industry with relevant industry-standard benchmarks. Vendors and endusers rely on TPC benchmarks to provide real-world data that is backed by a stringent and independent review process. Vendors also use TPC benchmarks to demonstrate performance competitiveness for their existing products, and to improve/monitor the performance of products-under-development. Many buyers often use TPC benchmark results as points of comparison when purchasing new computing systems. The technology landscape is continually evolving and challenging industry experts and researchers to develop innovative techniques to evaluate and benchmark computing systems. The TPC remains committed to developing highly relevant benchmark standards and will continue to develop new benchmarks to keep pace. With this conference, the TPC encourages researchers and industry experts to submit novel ideas and methodologies in performance evaluation, measurement, and characterization. Selected papers may be considered for future TPC benchmark developments. Proceedings will be published by Springer-Verlag as Lecture Notes in Computer Science (LNCS).

  • Cloud-I 2013, 2nd International Workshop on Cloud Intelligence
    With the increasing success of cloud computing, cloud business intelligence "as a service" offerings have sparkled widely, both from cloud start-ups and major BI industry vendors. Beyond porting BI features into the cloud, which already implies numerous issues (e.g., BigData/NoSQL database modeling and storage, data localization, security and privacy, performance, cost and usage models...), this trend also poses new, broader challenges for making data analytics available to small and medium-size enterprises (SMEs), non-governmental organizations, web communities (e.g., supported by social networks), and even the average citizen; this vision presumably requiring a mixture of both private and open data. The aim of the Cloud-I workshop is to become an interdisciplinary, regular exchange forum for researchers, industry and practitioners, as well as all potential users of Cloud Intelligence. The submission of research, industrial, position, visionary, survey and student papers are encouraged to fuel up the discussion.

Friday, Aug 30th, 2013

  • DBRank 2013, 7th International Workshop on Ranking in Databases
    In recent years, there has been a great deal of interest in developing effective techniques for ad-hoc search and ranked retrieval in relational databases, XML, RDF and graph databases, text and multimedia databases, scientific information systems, social networks, and many more. In particular, a large number of emerging applications require an explorative form of querying on such general-purpose or domain-specific databases; examples include users wishing to search bibliographic databases or catalogues of products, such as homes, cars, cameras, restaurants, photographs, etc. Current database query languages, such as SQL, XQuery or SPARQL, are designed for expert users and follow a Boolean retrieval model, which is inadequate for exploratory users who cannot articulate their perfect query needs. Top-k queries and ranking query results are gaining increasing importance to address the needs of exploratory users. In fact, in many of these applications, ranking is an integral part of the semantics, e.g., for keyword search, similarity search in multimedia as well as document collections. The increasing importance of ranking is directly derived from the explosion in the volume of data that is handled by current applications. Without ranking, users would frequently be overwhelmed by too many results. Furthermore, the sheer amount of data makes it almost impossible to process queries in a traditional compute-then-sort approach. Hence, ranking comes as a great tool for soliciting user preferences and data exploration. Ranking imposes several challenges for almost all data-centric systems. DBRank 2013 serves as a platform for the discussion of challenges, research, and applications in the context of ranking for relational, XML, RDF, text, multimedia, multidimensional, and social data.

  • PersDB 2013, The 7th Workshop on Personalized Access, Profile Management, and Context Awareness in Databases
    The past decade produced a rich ecosystem of web sites that provide personalized access to (semi-)structured data: financial asset tracking and management sites, personalized news delivery services, and even customized web search engines are all but a few examples. A second wave of innovation has been fueled by the explosive growth of web platforms that enable rich online social interactions, such as online social networks, web communities, wikis, and mashups. These new applications go beyond personalized information access and dissemination. Users can now transcend their role of passive content consumers and engage in content creation, sharing, and various forms of online collaboration as well. This online collaboration has recently moved to the next level through crowdsourcing: applications that enable users to help other users in completing their tasks. All aforementioned applications rely critically on user-centric data — such as profile data, preferences, activity logs, location, group memberships, and social connections — to provide a personalized experience, including personalized search results, personalized ads, product recommendations, coupons and so forth. Additionally, online social applications provide an unprecedented amount of user-contributed social and context data. The interconnected nature of personalized, social, and contextual data management problems as well as the fertile research ground these represent motivate a discussion on these problems within the database community. We need to obtain a common understanding of new challenges and to collaborate on the design of new models, algorithms, and systems for emerging applications. The PersDB 2013 workshop aims at providing the appropriate venue for discussion and debate of the relevant issues and at nurturing related future research and applications.

  • SIMPDA 2013,  International Symposium on Data-Driven Process Discovery and Analysis
    With the increasing automation of business processes, growing amounts of process data become available. This opens new research opportunities for business process data analysis, mining and modeling. The aim of the IFIP 2.6 - 2.12 International Symposium on Data-Driven Process Discovery and Analysis is to offer a forum where researchers from different communities and the industry can share their insight in this hot new field. The IFIP International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2013) offers a unique opportunity to present new approaches and research results to researchers and practitioners working in business process data modeling, representation and privacy-aware analysis.

  • SSW 2013,  3RD International Workshop on Semantic Search over the Web
    We are witnessing a smooth evolution of the Web from a worldwide information space of linked documents to a global knowledge base, composed of semantically interconnected resources. The continuous publishing and the integration of the plethora of semantic datasets from companies, government and public sector projects is leading to the creation of the so-called Web of Knowledge. As a matter of facts, researchers are now looking with growing interest to semantic issues in this huge amount of correlated data available on the Web. Many progresses have been made in the field of semantic technologies, from formal models to repositories and reasoning engines. The third edition of the International Workshop on Semantic Search over the Web (SSW) will discuss about data management issues related to the search over the web and the relationships with semantic web technologies, proposing new models, languages and applications. The SSW Workshop invites researchers, engineers, service developers to present their research and works in the field of data management for semantic search. Papers may deal with methods, models, case studies, practical experiences and technologies.

  • SDM2013, Secure data Management
    SDM2013 brings together people from the security research community and data management research community in order to exchange ideas on the secure management of data. The workshop will provide forum for discussing practical experiences and theoretical research efforts that can help in solving the critical problems in secure data management. This 10th anniversary year, we will put special emphasis on some high profile position papers as well as on one or two special sessions on topics related to security, trust, and privacy in data driven networked services and / or future internet service architectures.

  • DBPL 2013, 14th Biennial Symposium on Data Base Programming Languages
    For over 25 years, DBPL has established itself as the principal venue for publishing and discussing new ideas at the intersection of databases and programming languages. Many key contributions in query languages for object-oriented data, persistent databases, nested relational data, and semistructured data, as well as fundamental ideas in types for query languages, were first announced at DBPL. Today, the emergence of new data management applications such as cloud computing and “big data,” social network analysis, bidirectional programming, and data privacy has lead to a new flurry of creative research in this area, as well as a tremendous amount of activity in industry. DBPL is an established destination for such new ideas.

  • BD3, First International Workshop on Big Dynamic Distributed Data
    As the amount of streaming data produced by large-scale systems such as environmental monitoring, scientific experiments and communication networks grows rapidly, new approaches are needed to effectively process and analyze such data. There are several promising directions in the area of large-scale distributed computation, that is, where multiple computing entities work together over partitions of the massive, streaming data to perform complex computations. Two important paradigms in this realm are continuous distributed monitoring (i.e., continually maintaining an accurate estimate of a complex query), and distributed and cluster-based systems that allow the processing of big, streaming data (e.g., IBM System S, Amazon S4, and Twitter Storm). The aim of the BD3 workshop is to bring together computer scientists with interests in this field to present recent innovations, find topics of common interest and to stimulate further development of new approaches to deal with massive dynamic and distributed data.

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