The following workshops are co-located with the EDBT/ICDT 2014 conferences in Athens, Greece. The workshops are all held on Friday, March 28, 2014.

Registration: There is no separate workshops registration. To be included in the program, each accepted paper will need to be accompanied with a (non-student) conference registration.

Formatting guidelines:


Energy Data Management (EnDM)

Organizers: Dr. Torben Bach Pedersen (Aalborg Univ.)


The energy sector is one of the most active application domains being forced to re-think the current practice and apply data-management based IT solutions to provide a scalable and sustainable supply and distribution of energy. Challenges range from energy production by seamlessly incorporating renewable energy resources over energy distribution and monitoring to controlling energy consumption. Decisions are based on huge amounts of empirically collected data from smart meters, new energy sources (increasingly RES - renewable energy sources such as wind, solar, hydro, thermal, etc), new distributions mechanisms (Smart Grid), and new types of consumers and devices, e.g., electric cars. This workshop focuses on conceptual and system architecture issues related to the management of very large-scale data sets specifically in the context of the energy domain. The overall goal is to bridge the gap between domain experts and data management scientists and we are seeking contributions that push the envelope towards novel schemes for large-scale data processing with special focus on energy data management.

Bidirectional Transformations (BX)

Organizers: Soichiro Hidaka (NII), James F. Terwilliger (Microsoft)


Bidirectional transformations (bx) are a mechanism for maintaining the consistency of at least two related sources of information. Such sources can be relational data, software models, documents, graphs, trees, and so on. BX are an emerging topic in a wide range of research areas with prominent presence at top conferences in different fields. However, much of the research in bx tends to get limited exposure outside of a single field of study. The purpose of this workshop series is not only to further research into bx, but to promote cross-disciplinary research and awareness in the area. The aim of the workshop is to bring together researchers and practitioners, established and new, interested in bidirectional transformations from different perspectives, such as inversion of data exchange mappings, new perspectives on view updatability, data-schema co-evolution and data synchronization, software-model synchronization, consistency analysis, (coupled) software/model transformations, language-based approaches.

Mining Urban Data (MUD)

Organizers: Gennady Andrienko, Dimitrios Gunopulos, Vana Kalogeraki, Ioannis Katakis, Pedro Jose Marron, Katharina Morik, Olivier Verscheure


Recently, the establishment of innovative technologies related to mobile or wearable computing and smart city infrastructure led to the continuous massive generation of heterogeneous data. For example, sensors established in junctions can estimate the volume of traffic at the specific spot. These sensors nowadays form networks that are able to track the vehicle / transport flow of an entire city. Moreover, GPS sensors installed on public transport (e.g. buses) can create similar city pictures since delays can be tracked and utilized to monitor problems around the city. In addition, citizens constantly interact with mobile sensors in their smart-phones or use wearable technologies (e.g. in shoes) that track their activity. At the same time micro-blogging applications like Twitter provide a new stream of textual information that can be utilized to capture events, trends or sentiment. The purpose of the MUD workshop is to discuss the research challenges that arise due to the introduction of such data.

Exploratory Search in Databases and the Web (ExploreDB)

Organizers: Georgia Koutrika, Laks V.S. Lakshmanan, Mirek Riedewald, and Kostas Stefanidis


There is a need to develop novel paradigms for exploratory user-data interactions that emphasize user context and interactivity with the goal of facilitating exploration, interpretation, retrieval, and assimilation of information. A huge number of applications need an exploratory form of querying. Ranked retrieval techniques for relational databases, XML, RDF and graph databases, text and multimedia databases, scientific and statistical databases, social networks and many others, is a first step towards this direction. Recently, several new aspects for exploratory search, such as preferences, diversity, novelty and surprise, are gaining increasing importance. From a different perspective, recommendation applications tend to anticipate user needs by automatically suggesting the information which is most appropriate to the users and their current context. Also, a new line of research in the area of exploratory search is fueled by the growth of online social interactions within social networks and web communities. Many useful facts about entities (e.g. people, locations, organizations, products) and their relationships can be found in a multitude of semi-structured and structured data sources such as Wikipedia (, Linked Data cloud (, Freebase (, and many others. Therefore, novel discovery methods are required to provide highly expressive discovery capabilities over large amounts of entity-relationship data, which are yet intuitive for end-users. ExploreDB 2014 invites submissions of original research, practical experiences, evaluation results, or novel approaches and applications.

Linked Web Data Management (LWDM)

Organizers: Devis Bianchini, Valeria De Antonellis, Roberto De Virgilio


The joint application of data management and Semantic Web competencies, through the design of new models, languages and tools, has turned out to be very useful to enable the use of the Web as a huge, interlinked, dynamic repository of linked resources.  The fruitful combination of knowledge coming from data management, Semantic Web and Linked Data fields enables also to better exploit the Web 2.0 potential, where people and applications discover new linked information in an unexpected way, according to an explorative perspective, moving through linked sources of knowledge. The fourth edition of the International Workshop on Linked Web Data Management (LWDM) maintains the same goal of the first three editions, aiming at stimulating participants to discuss about data management issues related to the Linked Data and the relationships with other Semantic Web technologies, and at the same time proposes a glance at new issues. The LWDM Workshop invites researchers, engineers, service developers to present their research and works in the field of Linked Web of Data. Papers may deal with methods, models, case studies, practical experiences and technologies and also work in progress solutions.

Querying Graph Structured Data (GraphQ)

Organizers: Federica Mandreoli, Riccardo Martoglia (University of Modena and Reggio Emilia, Italy), Wilma Penzo (University of Bologna, Italy)


Graph-based data models have recently gained much popularity as powerful means for data representation in several database application areas. Notable examples of application domains where data is naturally represented in graph-based form are knowledge bases, biological and chemical databases, Web-scattered data, healthcare, personal information management (PIM) and enterprise information management (EIM) systems, social networks, just to mention a few. The largeness and complexity of datasets in these domains make their querying a really challenging task.
The overall goal of the GraphQ workshop is to bring people from different fields together, exchange research ideas and results, and encourage discussion about how to efficiently and effectively support graph queries in different application domains. GraphQ seeks at providing the opportunity for inspiration and cross-fertilization for the many research groups working on graph-structured data, with a particular focus on the querying issues.

Privacy and Anonymity in the Information Society (PAIS)

Organizers: Traian Marius Truta (NKU), Li Xiong (Emory), Farshad Fotouhi (WSU)


Organizations collect vast amounts of information on individuals, and at the same time they have access to ever-increasing levels of computational power. Although this conjunction of information and power provides great benefits to society, it also threatens individual privacy. As a result legislators for many countries try to regulate the use and the disclosure of confidential information. Various privacy regulations (such as USA Health Insurance Portability and Accountability Act, Canadian Standard Association's Model Code for the Protection of Personal Information, Australian Privacy Amendment Act, etc.) have been enacted in many countries all over the world and, following that, data privacy and protecting individuals' anonymity have become a mainstream avenue for research. The PAIS’14 Workshop will provide an open yet focused platform for researchers and practitioners from computer science and other fields that are interacting with computer science in the privacy area such as statistics, healthcare informatics, and law to discuss and present current research challenges and advances in data privacy and anonymity research.

Multimodal Social Data Management (MSDM)

Organizers: Antonio Penta, Claudio Schifanella (U. Torino), Carlos Ruiz, Maria Luisa Sapino


In recent years, social media platforms have continued to grow in popularity and have become an interesting source of heterogeneous data for many application areas such as finance, telecommunications, biology, security, logistics, entertainment, social television. Even if all these data are really attractive and impactful, given the breadth of potential applications in the big data space, their management is still a great challenge and in many research contexts the proposed techniques are developed focusing on single aspects without looking at how local or global phenomena are influenced by different types of data like user profiles, networks topology, multimedia streaming, user interactions. The idea underlying the MSDM'14 workshop is to discuss how research contributions in different computer science areas can help better explain social data and build new applications. The workshop will bring together experts in social network analysis, natural language processing, multimodal data management and integration, scalable data analysis, machine learning as well as researchers active in the multiple industrial application domains.

Algorithms for MapReduce and Beyond (BeyondMR)

Organizers: Foto N. Afrati (NTUA), Phokion G. Kolaitis (IBM), Jeffrey D. Ullman (Stanford)


The BeyondMR'14 workshop aims to explore algorithms and computational models for systems that need large scale parallelization and systems designed to support efficient parallelization and fault tolerance. These include specialized programming and data-management systems based on MapReduce and extensions, graph processing systems, data flow systems, and log processing systems.