A semantic web based framework for social network access control
Proceedings of the 14th ACM symposium on Access control models and technologies
Access Control Policies for Semantic Networks
POLICY '09 Proceedings of the 2009 IEEE International Symposium on Policies for Distributed Systems and Networks
An architecture for privacy-enabled user profile portability on the web of data
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Directing status messages to their audience in online communities
COIN'09 Proceedings of the 5th international conference on Coordination, organizations, institutions, and norms in agent systems
An Access Control Framework for the Web of Data
TRUSTCOM '11 Proceedings of the 2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications
Guarding a walled garden — semantic privacy preferences for the social web
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: users and contexts of use - Volume Part III
| Hi-index | 0.00 |
Web of Data applications provide users with the means to easily publish their personal information on the Web. However, this information is publicly accessible and users cannot control how to disclose their personal information. Protecting personal information is deemed important in use cases such as controlling access to sensitive personal information on the Social Semantic Web or even in Linked Open Government Data. The Privacy Preference Ontology (PPO) can be used to define fine-grained privacy preferences to control access to personal information and the Privacy Preference Manager (PPM) can be used to enforce such preferences to determine which specific parts of information can be granted access. However, PPO and PPM require further extensions to create more control when granting access to sensitive data; such as more flexible granularity for defining privacy preferences. In this paper, we (1) extend PPO with new classes and properties to define further fine-grained privacy preferences; (2) provide a new light-weight vocabulary, called the Privacy Preference Manager Ontology (PPMO), to define characteristics about privacy preference managers; and (3) present an extension to PPM to enable further control when publishing and sharing personal information based on the extended PPO and the new vocabulary PPMO. Moreover, the PPM is extended to provide filtering data over SPARQL endpoints.