The following workshops are all co-located with the EDBT/ICDT 2013 conferences in Genoa, Italy. The workshops are all held on Friday, March 22, 2013.
The joint EDBT/ICDT Ph.D. Workshop is intended to bring together Ph.D. students working on topics related to the EDBT and the ICDT conference series. The workshop will offer Ph.D. students the opportunity to present, discuss, and receive feedback on their research in a constructive and international atmosphere. The workshop will be accompanied by prominent professors and researchers in the field of database technology and theory. These accompanying professors will participate actively, mentoring and contribute to the discussions.
Homepage: PhD workshop
Organizers: Malu Castellanos (HP Laboratories, Palo Alto, USA), Florian Daniel (University of Trento, Italy), Irene Garrigós (University of Alicante, Spain), Jose-Norberto Mazón (University of Alicante, Spain)
Over the last decade, we have been witnessing an increasing use of Business Intelligence (BI) solutions that allow enterprise to query, understand, and analyze business data in order to make better decisions. Traditionally, BI applications allowed business people to acquire useful knowledge from the data of their organization by means of a variety of technologies, such as data warehousing, OLAP or data mining. Yet, in the very recent years, a new trend emerged: BI applications no longer limit their analysis to the data inside a company. Increasingly, they also source their data from the outside and complement company-internal data with value-adding information, i.e., from the Web, (e.g., retail prices of products sold by competitors), in order to provide richer insights into the dynamics of today's business. In parallel to the move of data from the Web into BI applications, BI applications are experiencing a trend from company-internal information systems to the cloud: BI as a service (e.g., hosted BI platforms for small- and medium-size companies) is the target of huge investments and the focus of large research efforts by industry and academia.
The International Workshop on Business intelligencE and the WEB (BEWEB) intends to target the above two moves and creates an international forum for exchanging ideas on how to leverage the huge amount of data that is available on the Web in BI applications, and how to apply Web-related engineering methods and techniques to the design of BI applications, such as BI as a service.
The Third International Workshop on Linked Web Data Management (LWDM) aims to stimulate participants to discuss about data management issues related to the Linked Data and the relationships with other Semantic Web technologies, proposing new models, languages and applications that exploit the Web as a huge, interlinked, dynamic repository of linked resources.
Organizers: Traian Marius Truta (Northern Kentucky University, U.S.A.), Li Xiong (Emory University, U.S.A.), Farshad Fotouhi (Wayne State University, U.S.A.)
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 Privacy and Anonymity in Information Society (PAIS'13) 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.
Organizers: Federica Mandreoli (University of Modena and Reggio Emilia, Italy), Riccardo Martoglia (University of Modena and Reggio Emilia, Italy), Wilma Penzo (University of Bologna, Italy)
With the proliferation of structured, semi-structured, and variously interlinked data in several database application areas, graphs have recently regained much attention by the database research community as a powerful abstract representation for data modeling. Notable examples of application domains where data is naturally represented in graph-based form are 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. One of the demanding needs in these contexts is a satisfactory support to query answering, which is a really challenging task because of the largeness and the complexity of the datasets.
The GraphQ workshop aims at being a meeting point for researchers working on graph-structured data, with a particular focus on query answering. The overall goal 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.
Homepage: Querying Graph Structured Data (GraphQ)
The 2nd workshop on Energy Data Management is supposed to spark discussion within the academic database community and to bridge the gap between practitioners coming from the energy domain and database experts. This workshop addresses PhD students looking for an interesting application domain, industrial representatives from the application domain as well as from database-related industry, and database experts in order to receive their comments on the presented use cases or discussed methods and techniques to cope with the data management challenges of the energy domain.
Homepage: Energy Data Management (EnDM)
Organizers: Bertram Ludaescher (UC Davis, USA), Paolo Missier (U Newcastle, UK)
As the volume of provenance metadata increases with the volume of the underlying data whose history it describes, new challenges for managing and querying provenance at scale emerge, i.e., provenance data is growing in both "count" and "complexity". It is growing in count because of the very large number of provenance traces (e.g., one for each Twitter message), and in complexity in the case of provenance graphs that are generated from provenance-enabled programming environments (e.g., scientific workflow systems) and middleware. Data-intensive science is bound to produce provenance that fares high on both accounts.
The focus of the workshop is on exploring the system and modelling challenges associated with collecting, storing, querying, and exploiting large volumes of possibly complex provenance data. The workshop will provide a forum for researchers to present and discuss state-of-the-art techniques, elicit new research problems, and learn about existing systems.
This competition addresses an important problem for database research and related fields, i.e., approximate string matching. Applications are many, such as duplicate detection, information extraction, error-tolerant keyword search etc. Participants of this workshop will compete for the most efficient implementation of scalable approximate string matching techniques. The competition comprises two tracks: similarity string search and similarity string join. The purpose is to get a clearer picture of the state-of-the-art in string matching by comparing algorithms using the same hardware and the same (large) data sets.
The competition will proceed in different phases:
Homepage: Scalable String Similarity Search/Join