The massive amount of data are being generated on social media sites, such as Twitter and Facebook, can be used to better understand people and predict their behavior. In this workshop, rather than continuing down the path of aggregating data across many users, we focus on the creation of deep models of individual users. In recent years this has been active area of research and various analytic techniques have been applied to infer properties of users', including home location, gender, age, regional origin, ethnicity, political orientation, expertise, location preferences, enterprise preferences, and personality. Our workshop aims to bring together researchers and practitioners from diverse areas, such as user modeling, social media analysis, natural language processing, data mining, machine learning, privacy and security, to: 1) discuss the many remaining technical challenges, 2) the challenges of balancing expression with the need for privacy, and 3) develop an agenda for future research in this area.

Jalal Mahmud (IBM Research - Almaden, USA)
James Caverlee (Texas A&M University, USA)
Jeffrey Nichols (IBM Research - Almaden, USA)
John O' Donovan (University of California, Santa Barbara, USA)
Michelle Zhou (IBM Research - Almaden, USA)

The Fourth International workshop on Cloud Data Management (CloudDB 2012) will bring together researchers and practitioners in cloud computing and data-intensive system design, programming, parallel algorithms, data management, scientific applications, and information-based applications to maximize performance, minimize cost and improve the scale of their endeavours. Data management is one of the most important research areas in cloud computing. Even though increasing research interests are focused in this area, people still need a forum to exchange their ideas and results. This workshop aims to provide such a forum. This workshop also aims to reflect top research progress in the cloud data management area.

Meng Xiaofeng (Renmin University, China)
Adam Silberstein (Linkedin, U.S.A)
Fusheng Wang (Emory University, USA)

Managing Interoperability and Complexity in Health Systems, MIXHS'12, aims to be a forum focusing on the latest advances in bio-medical and e-health knowledge and information management research. The workshop will provide an opportunity for sharing practical experiences and best practices in e-health information infrastructure development and management. It will gather experts, researchers, system developers, practitioners and policymakers designing and implementing solutions for managing clinical data and integrating current and future electronic-health systems infrastructures.

Cui Tao (Mayo Clinic, USA)
Matt-Mouley Bouamrane (University of Glasgow, UK)

The World Wide Web has become the carrier for the largest human knowledge repository in history. As its knowledge bases are growing towards a practically 'infinite' volume, Web-scale Knowledge Representation, Retrieval, and Reasoning (Web-KR) is becoming a real issue and an urgent task. Although the Web community has developed a number of knowledge representation languages and reasoning methods, when the volume goes Web-scale, existing approaches meet many challenging problems, such as scalability, inconsistency, uncertainty and dynamics. Hence, a unified approach to Web-KR needs to be developed.This workshop aims to bringing together researchers from Web research, Artificial Intelligence (AI), high performance computing, cognitive science, knowledge management, and machine learning to discuss all issues of Web-KR in a synergistic setting.

Spyros Kotoulas (IBM Ireland Research Lab, Dublin, Ireland)
Yi Zeng (Institute of Automation,Chinese Academy of Sciences, P.R. China)
Zhisheng Huang (Vrije Universiteit Amsterdam, the Netherlands)

In recent years, a significant effort has been placed on advancing information technology for effective healthcare and wellness in both academic and industrial applications. There is increased effort to transform reactive care to proactive and preventive care, clinic-centric to patient-centered practice, training-based interventions to globally aggregated evidence, and episodic response to continuous well-being monitoring and maintenance. To successfully address the challenge of smart health and wellbeing we need to include the following (a) an interoperable, digital infrastructure of shareable health data and knowledge, (b) utilizing diverse data to provide automated and augmented insight, discovery, and evidence-based health and wellness decision support, (c) a cyber-based empowering of patients and healthy individuals that enables them to play a substantial role in their own health and treatment, (d) monitoring and assisting individuals using intelligent systems (including sensors, devices, and robotics) to maintain function and independence. SHB 2012 is organized to develop a platform for authors to discuss fundamental principles, algorithms or applications of intelligent data acquisition, processing and analysis of healthcare data. We are particularly interested in information and knowledge management papers, in which the approaches are accompanied by an in-depth experimental evaluation with real world data.

Christopher C. Yang (Drexel University, Philadelphia, USA)
Hsinchun Chen (University of Arizona, USA)
Howard Wactlar (National Science Foundation, USA)
Carlo K. Combi (Universita' degli Studi di Verona, Italy)
Xuning Tang (Drexel University, Philadelphia, USA)

What is the role of the internet in politics and during campaigns and what is the role of large amounts of user data in all of this? In the 2008 U.S. presidential campaign the Democrats were far more successful than the Republicans in utilizing online media for mobilization, co-ordination and fundraising. For the first time, social media and the Internet played a fundamental role in political campaigns. However, technical research in this area has been surprisingly limited and fragmented. The goal of this workshop, taking place right before the U.S. presidential elections, is to bring together researchers working at the intersection of social network analysis, computational social science and political science, to share and discuss their ideas in a common forum; and to inspire further developments in this growing, fascinating field of computational political science.

Ingmar Weber (Yahoo! Research, Spain)
Ana-Maria Popescu (Yahoo! Labs, USA)
Marco Pennacchiotti (Yahoo! Labs, USA)

During the past years, the Web culture has grown more and more enticing, centring many services around social media and collaboratively shared content. The vast range of possible exploitations of such community platforms includes viral marketing, collaborative tagging, recommendation and content creation. BooksOnline'12 aims to offer a forum for bringing together expertise from academia, industry, libraries and archives to facilitate the exchange of research and application of social media and collaboratively shared content in the field of digital libraries with specific focus on online books. This requires to solve a range of KM, IR, DB, DL and HCI challenges applied to large collections of online books and related social media. These include mechanisms for fast access to semi-structured data, methods to mine and enrich content and analyse usage data, algorithms, user interfaces and interaction models for searching and recommendation in rich social contexts, and designs for engaging reading experiences that readers would want to share. BooksOnline'12 will encourage strong exploitation of the incentives and benefits of such major forms of massive on-line collaborations for digital libraries.

Gabriella Kazai (Microsoft Research, UK)
Monica Landoni (USI, CH)
Carsten Eickhoff (Delft University of Technology, The Netherlands)
Peter Brusilovsky (University of Pittsburgh, USA)

The 1st International Workshop on Multimodal Crowd Sensing (CrowdSens 2012) will provide an open forum for researchers from various domains such as data management, data mining, information retrieval, and semantic web, for discussing the above challenges.

Haggai Roitman (IBM Research - Haifa, Israel)
Ivan Cantador (Universidad Autonoma de Madrid, Spain)
Miriam Fernandez (The Open University, UK)

The main focus of DTMBIO is on biomedical and healthcare informatics. DTMBIO delegates will bring forth interesting applications of up-to-date informatics in the context of biomedical research. Biological researchers face the current challenge of making effective use of the enormous amount of electronic biomedical data in order to better understand and explain complex biological systems. The biomedical data repositories include data in a wide variety of forms, including bibliographic information from electronic medical journals, gene expression data from Microarray experiments, protein identification and quantification data from proteomics experiments, genomic sequences gathered by the Human Genome Project, and patient healthcare records. The ability to automatically and effectively extract, integrate, understand and make use of information embedded in such heterogeneous - structured and unstructured - data remains a challenging task.

Doheon Lee (KAIST, Korea)
Sophia Ananiadou (The University of Manchester, UK)
Hua Xu (Vanderbilt University, USA)
Min Song (Yonsei University, Korea)

There is an increasing amount of structure on the Web as a result of modern Web languages, micro-formats and linked data, user tagging and annotation, and emerging robust NLP tools. These meaningful, semantic, annotations hold the promise to significantly enhance information access, by enhancing the depth of analysis of today's systems. Currently, we have only started exploring the possibilities and only begin to understand how these valuable semantic cues can be put to fruitful use. To complicate matters, standard text search excels at shallow information needs expressed by short keyword queries, and here semantic annotation contributes very little, if anything. The main questions for the workshop are how to leverage the rich context currently available, especially in a mobile search scenario, giving powerful new handles to exploit semantic annotations. And how can we fruitfully combine information retrieval and semantic web approaches, and for the first time work actively toward a unified view on exploiting semantic annotations.

Jaap Kamps (University of Amsterdam)
Jussi Karlgren (Gavagai Stockholm)
Peter Mika (Yahoo! Research)
Vanessa Murdock (Yahoo! Research)

Several issues arise with management of content that is generated in developing regions. Some result from linguistic diversity (as in India and Africa), some result from content being available only in forms that are more difficult to computationally manipulate (e.g., handwriting, speech, and legacy digital text in nonstandard encodings), some result from underinvestment in language resources for the languages of these regions, and some result from increased contact between cultures that have different views regarding the proper use of information and information artefacts. Such issues warrant focussed attention if we are to optimally leverage information and knowledge management to the advantage of populations in developing regions. This workshop aims to bring the data management, information retrieval, and knowledge management communities together around questions of technology support for societal development. Our twin goals are to help to identify new applications for existing information and knowledge management technologies in developing regions and to inspire new research on problems that arise in developing region contexts. We anticipate a mix of industrial and academic participation.

Rakesh Agrawal (Microsoft Research, USA)
Douglas W. Oard (University of Maryland)
Nitendra Rajput (IBM India Research Laboratory, India)

The goal of the PIKM workshop is two-fold: First, we want to give doctoral students an opportunity to present their work in an early state to a global audience. This allows the students to receive feedback from reviewers, from fellow students and from the general CIKM audience. Second, we believe that the database research community, too, benefits from such a workshop: PhD theses are the grassroots of research. They point out new research avenues and provide fresh viewpoints from the researchers of tomorrow.

Aparna S. Varde (Montclair State University Montclair, NJ, USA)
Fabian M. Suchanek (Max Planck Institute for Informatics Saarbrucken, Germany)

The objective of the workshop is to bring together researchers and industrial practitioners to present and discuss leading research into how web data and information can be extracted, stored, analyzed, and processed to provide useful knowledge to end users for advanced database and web applications.

George Fletcher (Eindhoven University of Technology, The Netherlands)
Prasenjit Mitra (The Pennsylvania State University, USA)

The DOLAP 2012 workshop aims to synergistically connect the research community and industry practitioners. It provides an international forum where both researchers and practitioners can share their findings in theoretical foundations, current methodologies, and practical experiences. DOLAP will focus on new research directions and emerging applications in DW & OLAP. We are expanding the scope of DOLAP to include work in bridging search engines and data warehouses.

Il-Yeol Song (Drexel University, USA)
Matteo Golfarelli (University of Bologna, Italy)