- From: Daniel Olmedilla <olmedilla@l3s.de>
- Date: Fri, 26 Oct 2007 11:34:32 +0200
- To: Daniel Olmedilla <olmedilla@l3s.de>
[Apologies if you receive this more than once] Call For Participation WORKSHOP ON PRIVACY ENFORCEMENT AND ACCOUNTABILITY WITH SEMANTICS Held in conjunction with the 6th International Semantic Web Conference and the 2nd Asian Semantic Web Conference, Busan, Korea, Nov 12, 2007 URL: http://www.L3S.de/~olmedilla/events/2007/PEAS07/ Workshop Motivation and Goal ---------------------------- The concept of information sharing has dramatically changed with the new digital era. Handheld devices that could provide highly personal information about the owner (e.g., RFID, GPS) are becoming more pervasive. Our use of the Web also leads to the implicit sharing of information with others through our blogs, websites, social networks, Semantic Desktop sharing, clickstream tracking, as well as through the photographs, documents, and bookmarks we post on sites such as Flickr, Zoomr, and Delicious. Disclosing information to third parties may have unexpected consequences since a receiver of such information might easily use, copy, and redistribute it in ways not intended for by the owner. Users must understand the implications of using such devices or applications and providing information to third parties. Even though users may prevent the direct disclosure of sensitive information by an access control mechanism and the information being leaked may not seem private, sensitive information may revealed by inferences drawn from non-sensitive data and metadata. Examples include identifying a user and providing her sensitive information through a simple search engine query log, and retrieving medical data from sets of anonymized records. Thus along with privacy enforcement, accountability is also important because it may not always be possible to prevent third parties from obtaining sensitive information but accountability helps ensure that this information is used according to certain policies defined by the law or by the owner. The role of Semantic Web research in privacy and accountability is two-fold. On the one hand, Semantic Web techniques may be used in order to provide advanced privacy and accountability mechanisms. Using formal languages with well-defined semantics in order to represent, reason about, and exchange such information helps to make it non-ambiguously understood by others. Privacy ontologies, sticky policies attached to data, accountability logics, and efforts such as the Creative Commons are some examples. Semantic Web languages can also be used to specify and track provenance of information, which is useful for accountability. Representing information in Semantic Web languages can also prevent sensitive information from being inferred by providing built in semantic models that can be used to recognize some potential inference channels. Another possible way to protect privacy is to disclose an appropriately generalized (or vague) answer to a query. For example, the query "where is John now" might be answered with "in room ITE 329 on the UMBC Campus " or "on the UMBC campus" or "somewhere in Maryland" depending on John's privacy preferences and the identify of the requester. Semantic Web languages provide a natural mechanism for generalization through their subclass structuring. The second role of Semantic Web research in this area is that privacy enforcement and accountability also apply to many emergent Semantic Web research topics. As an example, semantic desktop sharing poses questions about what to share, under which conditions, and how to control the usage of such information in a way that the privacy of the user is not violated. Understanding the new requirements that these scenarios pose is crucial for the short-term research in the area. This workshop will bring together researchers interested in the field in order to discuss and analyze important requirements and open research issues in this context, taking into account both perspectives: how can Semantic Web techniques help and which requirements arise from current Semantic Web research lines. The workshop will deliver a state-of-the-art overview and successful research advances in the area as well as guidelines for future research. Workshop topics --------------- Workshop topics include, but are not limited to, the following: - Ontologies for privacy - Techniques for privacy, anonymity, pseudonymity, and unlinkability - Privacy management & enforcement - Information hiding and watermarking - Information provenance - Inference channels - Generalization of answers - Privacy policy specifications and business rules - Negotiations and incentives for cooperation enforcement - Accountability - Privacy and personalization - Privacy and mobility - User- and context-awareness in privacy, security and trust - P3P - Digital Rights Management - Creative Commons - Pervasive technologies (RFID, cellular networks, WiFi) and Semantic Web - Case studies, prototypes, and experiences - Desktop search and sharing Programme & Papers ----------------------------------------- 8:45 Welcome + logistics 9:00 - 10:30 Paper Session I (20 mins presentation + 10 mins questions) * Semantic-Driven Enforcement of Rights Delegation Policies via the Combination of Rules and Ontologies Yuh-Jong Hu * Logging in Distributed Workflows Christoph Ringelstein, Steffen Staab * Access Control for Sharing Semantic Data across Desktops Ekaterini Ioannou, Juri De Coi, Arne Koesling, Daniel Olmedilla, Wolfgang Nejdl 10:30 - 11:00 Coffee break 11:00 - 12:30 Panel: Privacy Mechanisms * Moderator: Jim Hendler, Rensselaer Polytechnic Institute (RPI) 12:30 - 14:00 Lunch break 14:00 - 15:30 Invited speaker * Beyond Secrecy: New Privacy Protection Strategies for the World Wide Web Daniel Weitzner, MIT & W3C 15:30 - 16:00 Coffee Break 16:00 - 17:00 Paper Session II (15 mins presentation + 5 mins questions) * Privacy Enforcement through Workflow Systems in e-Science and Beyond William Cheung, Yolanda Gil * Privacy and Capability Management for the European eIDM Framework Mario Reye de los Mozos, Ignacio Alamillo, Daniel Chavarri * Recommendation Privacy Protection in Trust-based Knowledge Sharing Network Weisen Guo, Steven Kraines 17:00 Wrap up Organizing Committee -------------------- Tim Finin, University of Maryland, Baltimore County Lalana Kagal, Massachusetts Institute of Technology Daniel Olmedilla, L3S Research Center and University of Hanover Program Committee ------------------------------------ - Piero Bonatti, University of Naples - Grit Denker (SRI) - Sandro Etalle, University of Twente - Tim Finin, UMBC - Yolanda Gil (ISI and USC) - Lalana Kagal, MIT - Wolfgang Nejdl, L3S and University of Hannover - Daniel Olmedilla, L3S and University of Hannover - Alexander Pretschner, ETH Zurich - Pierangela Samarati, University of Milano - Ralph R. Swick, MIT and W3C - William Winsborough, GMU - Daniel Weitzner, MIT and W3C - Marianne Winslett, University of Illinois at Urbana-Champaign
Received on Friday, 26 October 2007 09:43:50 UTC