Second International Workshop on GPUs in Databases (GID 2013)

Chairs: Witold Andrzejewski (Poznan University of Technology, Poland), Krzysztof Kaczmarski (Warsaw University of Technology, Poland), Tobias Lauer (Jedox AG, Germany)


Many application domains of computer science, including: astrophysics, molecular dynamics, quantum chemistry, image processing, financial simulation, computer tomography, structural biology as well as many other require a lot of computing power. Fortunately, in most cases it is possible to parallelize parts of algorithms used to solve the problems in the aforementioned domains. However, even if parallelized, many of these algorithms require powerful and expensive hardware capable of running many parallel communicating and cooperating threads.

Recently however, the scientific community has realized, that Graphics Processing Units (GPUs) of modern graphics cards have similar capabilities. GPUs turned out to be very powerful (and cheap) computing hardware that may be used in all kinds of computation (not related to computer graphics). Since then, it has been shown many times over, that by utilizing the GPUs we are able to improve the computing efficiency in many computer science application domains and achieve speedups of 20-100X. However, while other fields of computer science already strongly benefit from utilizing GPUs, there is not yet much research related to using them in databases.

The concept of using GPUs in databases is relatively young and has not yet received enough attention from the database community. It is therefore necessary to popularize GPUs amongst the database scientific community and the best way to do that is to organize a workshop. Aside from popularizing the GPUs, our workshop will also provide a forum for discussion amongst the people interested in the subject. We think that organizing a workshop devoted to a relatively young field of computer science, which has the potential of allowing to achieve high speedups in many applications domains of databases is a very attractive idea.


Second International Workshop on Ontologies Meet Advanced Information Systems (OAIS 2013)

Chairs: Ladjel Bellatreche (LIAS/ENSMA, France), Yamine Ait Ameur (IRIT-ENSEIHT, France)


Information Systems are record sensitive and crucial data to support day-to-day company applications and decision making processes. Therefore, these systems often contain most of company product and process knowledge. Unfortunately, this knowledge is implicitly encoded within the semantics of the modelling languages used by the companies. The explicit semantics is usually not recorded in such models of information systems. References to ontologies could be considered as an added value for handling the explicit semantics carried by the concepts, data and instances of models Thus, developing new user Interfaces or reconciling data and/or models with external ones often require some kind of reverse engineering processes for making data semantic explicit.

Nowadays, ontologies are used for making explicit the meaning of information in several research and application domains. Ontologies are now used in a large spectrum of fields such as: Semantic Web, information integration, database design, e-Business, data warehousing, data mining, system interoperability, formal verification. They are also used to provide information system user knowledge-level interfaces. Over the last five year, a number of interactions between ontologies and information systems have emerged. New methods have been proposed to embed within database both ontologies and data, defining new ontology-based database. New languages were developed in order to facilitate exchange both ontology and data. Other languages dedicated for querying data at the ontological level were proposed (e.g., RQL, SOQA-QL, or OntOQL). Various approaches have been designed to deal with semantic integration of heterogeneous information sources and system interoperability using ontologies either in data sources or in mediators. In some domains, like products modelling, ontologies were published as standards. These ontologies are actually used to define world wide exchange consortiums for sharing information in various application domains. Due to these recent developments, most commercial database systems offer solution to both manage ontologies and data.

The objective of our workshop is to capitalize this effort. The aim of OAIS is twofold. The first one is to present new and challenging issues in the contribution of ontologies for designing high quality information systems. The second one is to present new research and technological developments that use ontologies all over the life cycle of information systems.


Second International Workshop on Social Data Processing (SDP 2013) - MERGED WITH SoBI

Chairs: Jaroslav Pokorny (Charles University in Prague, Czech Republic), Katarzyna Wegrzyn-Wolska (ESIGETEL, France), Vaclav Snasel (VSB - Technical University of Ostrava, Czech Republic)


Online social networks are associated to many disciplines, e.g. mathematics, computer science, social and biological sciences. Besides of their social characteristics these networks have their own specific features at the system level. Techniques of information retrieval, databases, preference modeling, graph theory, etc. are integrated there and adapted into dynamic environment with high scalability. The workshop Social Data Processing (SDS) continues a successful 1st year organized in conjunction with the ADBIS 2012 conference. SDS is focused on data processing issues associated with online social networks and takes up the topics of the main ADBIS conference, i.e. classical and today's hot database themes as well as various aspects of social computing.


Social Business Intelligence: Integrating Social Content in Decision Making (SoBI 2013)

Chairs: Matteo Golfarelli (DISI, University of Bologna, Italy), Stefano Rizzi (DISI, University of Bologna, Italy)


Business intelligence systems enable companies to transform their business data into timely and accurate information for the decisional process; they are used by decision makers to get a comprehensive knowledge of the business and of the factors that affect it, to define and support their business strategies and in general, to increase profitability. On the other hand, the planetary success of social networks and the widespread diffusion of portable devices has contributed, during the last decade, to a significant shift in human communication patterns towards the voluntary sharing of personal information. This has resulted in the accumulation of enormous amounts of social data, that include geolocation, preferences, opinions, news, articles, etc.

Social Business Intelligence (SBI) is the discipline of effectively and efficiently combining corporate data with social data to let decision-makers effectively analyze and improve their business based on the trends and moods perceived from the environment. As in traditional Business Intelligence, the goal is to enable powerful and flexible analyses for users with a limited expertize in databases and ICT.

SBI is at the cross-road of several areas in Computer Science such as Database Systems, Information Retrieval, Data Mining, Natural Language Processing, and Human-Computer Interaction. Though the ongoing research in these single fields has made available a bunch of results and enabling technologies for SBI, an overall view of the related problems and solutions is still missing. Besides, the peculiarities of SBI systems open new research problems in all the previous areas. The goal of the SoBI workshop is to put together researchers and practitioners coming from different areas related to SBI for sharing their findings and cross-fertilizing their researches.


Data Management in Hydro-Meteorology Research (DMHMR 2013) - CANCELED

Chairs: Antonio Parodi (CIMA Research Foundation, Savona, Italy), Andrea Clematis (CNR-IMATI, Genova, Italy), Dieter Kranzlmueller (LMU, Munich, Germany)


The design and implementation of a e-infrastructure for Hydro Meteorological research and for Civil Protection applications require to solve a number of problems that are concerned with multidisciplinary issues as well as with the availability of adequate methodologies and tools to support data access and exchange between legacy models that have been developed by different scientific communities. Moreover the hydrometeorological scientists should be relieved from the burden of time-consuming activities to access and prepare the necessary data sets to run forecast models. The aim of this workshop is to bring together researchers from different communities in order to review problems and issues and to explore solutions for data access, management and exchange among heterogeneous models. The set up and enactment of complex workflows on distributed Grid infrastructure are of particular interest. The use of cloud based solutions to store and share relevant data represent an important possibility.


Data Mining Application in Biologically Inspired Databases (BioInsp 2013) - CANCELED

Chairs: Harleen Kaur (United Nations University - International Institute for Global Health, Malaysia), Ritu Chauhan (Amity University, India), Prasanna Desikan (Allina Hospitals, USA)


Data Mining has been used intensively and extensively to discover novel and deep insights of healthcare and clinical databases, to facilitate unprecedented understanding of large biomedical datasets. Today’s data mining provides multifaceted environment in knowledge discovery to transform the data into useful information for futuristic decision making. 1. Bring together researchers (from both academia and industry) as well as practitioners to present their latest ideas and discuss some future directions 2. Provide a forum where expertise can discuss important contributions towards or research on data mining and its application in biological and/or medical data 3. Attract healthcare providers to discuss hidden biomedical and healthcare patterns for clinical use of data 4. Enhance interaction among data mining and its application within healthcare in major areas of treatment effectiveness, management of healthcare, customer relationship management, and relationship among drugs

The potential outcomes of workshop is to address technical issues preferred types of data mining techniques such as association and clustering; and classification and estimation for prediction of disease, tools, data mining prediction models to solve the problem and develop frameworks for data mining in specific domain of medical databases. We welcome the application of data mining in biology or medicine as well as biostatistical data analysis and bioinformatics

We invite all researchers, scientists and practitioners to share their interesting research, ideas, experience and results. The major topics related to large, complex, big data analysis and knowledge discovery are invited.


SLA Management for Data Services - CANCELED

Chairs: Verena Kantere (University of Geneve, Switzerland), Katerina Stamou (University of Geneve, Switzerland)


The cloud-computing paradigm has given rise to cloud-based service provision on the management of data, i.e. data services. The latter refers to transparent management of customer data, performed by the cloud provider in a time- and cost-efficient manner. This includes effective allocation of cloud resources, data organization for high availability and robustness, optimized scaling of data processing as well as multi-tenancy of data management applications.

A major obstacle in putting data services into business practice is the lack of techniques and methods for defining, establishing and monitoring application-specific Service Level Agreements (SLAs), especially of fine granularity. Many issues are still not solved or not even tackled in business or research. These are related to the determination and exposition through SLAs of objectives, constraints and properties of data services that can be offered by providers or requested by customers.

Service Level Agreements represent contractual terms and conditions between service providers and customers. Every customer needs to agree with a SLA in order to lease a new service. SLAs describe provisioning terms and encapsulate QoS characteristics as well as functional properties. Traditionally, providers define SLAs, where they guarantee explicit provisioning service level bounds for an agreed period.

In the scientific literature, SLAs are hardly viewed as end-user documents, but merely as automated processes that assist the monitoring and scheduling of resources. In contrast, cloud IT marketplaces treat SLAs as static documents that do not allow for any processing. Moreover, strong diversity exists in how service providers from distinct business and socio-economical domains formulate and exercise their provisioning responsibilities. Such issues need to be resolved in order to employ SLAs in data service provision.

Workshop goal is to create a fruitful discussion on how to adopt and adapt the common practice of SLA establishment and management for the provision of data services. The workshop aspires to bring together data management experts and SLA management experts in order to exchange their experience on the particularities, capabilities and constraints of their domain and define and propose necessary extensions of SLA practice for data services. The workshop aspires to publish novel theoretical and practical ideas on the exhibition and management of data service objectives, constraints and properties through SLAs for the benefit of both providers and customers.


Paper Publishing

Workshop papers will be published by Springer-Verlag in the AISC series (Advances in Intelligent Systems and Computing). Workshop papers must not exceed 10 pages in the AISC format and must comply with the AISC formatting guidelines available at The best workshop papers will be invited to submit an extended version for publication in the LNCS TLDKS Journal (Transactions on Large Scale Data and Knowledge-Centered Systems), which is indexed by DBLP and Scopus.