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PPO & PPM 2.0: Extending the Privacy Preference Framework to provide finer-grained access control for the Web of Data
- In Proceedings of the 8th Int. Conference on Semantic Systems, I-SEMANTICS’12
, 2012
"... Web of Data applications provide users with the means to easily publish their personal information on the Web. How-ever, this information is publicly accessible and users cannot control how to disclose their personal information. Protect-ing personal information is deemed important in use cases such ..."
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Web of Data applications provide users with the means to easily publish their personal information on the Web. How-ever, this information is publicly accessible and users cannot control how to disclose their personal information. Protect-ing 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 Gov-ernment Data. The Privacy Preference Ontology (PPO) can be used to define fine-grained privacy preferences to con-trol access to personal information and the Privacy Prefer-ence Manager (PPM) can be used to enforce such prefer-ences to determine which specific parts of information can be granted access. However, PPO and PPM require fur-ther extensions to create more control when granting ac-cess 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 infor-mation based on the extended PPO and the new vocabulary PPMO. Moreover, the PPM is extended to provide filtering data over SPARQL endpoints.
Access Control in Linked Data Using WebID A Practical Approach Validated in a Lifelong Learning Use Case
"... ABSTRACT Linked Data technologies become increasingly important in many domains. Key factors for their breakthrough are security and trust. Classical means for access control lack granularity when parts of the Linked Data graph must be protected. The WebID, combining semantic web concepts with meth ..."
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ABSTRACT Linked Data technologies become increasingly important in many domains. Key factors for their breakthrough are security and trust. Classical means for access control lack granularity when parts of the Linked Data graph must be protected. The WebID, combining semantic web concepts with methods from certificate based authentication and authorization, seems promising to fulfill all requirements concerning security and trust in the semantic web. In the PerSemID project, we challenged the WebID technology with a fully implemented proof-of-concept (PoC) addressing a workflow coming from the domain of lifelong learning and student mobility. In our use case of study enrollment, we used WebIDs for authentication and to grant access to parts of triple stores, during cross domain triple store interactions to exchange data between stakeholders.
Under consideration for publication in Math. Struct. in Comp. Science Linked Data Privacy
, 2014
"... Web of Linked Data introduces common format and principles for publishing and linking data on the Web. Such a network of linked data is publicly available and easily consumable. This paper introduces a calculus for modelling networks of linked data with encoded privacy preferences. In that calculus, ..."
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Web of Linked Data introduces common format and principles for publishing and linking data on the Web. Such a network of linked data is publicly available and easily consumable. This paper introduces a calculus for modelling networks of linked data with encoded privacy preferences. In that calculus, a network is a parallel composition of users, where each user is named and consists of data, representing the user’s profile, and a process. Data is a parallel composition of triples with names (resources) as components. Associated with each name and each triple of names are their privacy protection policies, that are represented by queries. A data triple is accessible to a user if the user’s data satisfies the query assigned to that triple. The main contribution of this model lies in the type system which together with the introduced query order ensures that static type-checking prevents privacy violations. We say that a network is well-behaved if — access to a triple is more restrictive than access to its components and less restrictive than access to the user name it is enclosed with, — each user can completely access their own profile, — each user can update or partly delete profiles that they own (can access the whole profiles), and
HADA- An Access Controlled Application for Publishing and Discovering Linked Government Data?
"... Abstract. This paper presents the on-going HADA project, an appli-cation for publishing and discovering Linked Data about IT Investments and Assets of the U.S. Government Department of Health and Human Services (HHS). The application extracts, structures and links IT Invest-ment and Asset data resid ..."
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Abstract. This paper presents the on-going HADA project, an appli-cation for publishing and discovering Linked Data about IT Investments and Assets of the U.S. Government Department of Health and Human Services (HHS). The application extracts, structures and links IT Invest-ment and Asset data residing in various HHS internal repositories which currently are data silos that do not interconnect with each other and require the use of different systems to search and consume this informa-tion. Moreover, this project incorporates fine-grained access control for granting or restricting access to specific parts of the data since some data sources are public by nature but other sources are sensitive and require specific authorisation for consuming the data. Hence, in this paper we provide insights to the various challenges and lessons learned whilst de-veloping this project that can be beneficial for publishing and consuming Linked Government Data with access control, especially for publishing sensitive personal citizen information.
Linking In-Game Events and Entities to Social Data on the Web
"... Abstract — The Web of Data is an emerging term used to describe a recent trend for publishing and interlinking previously disconnected datasets on the Web in order to make them more valuable and useful as a whole. In the world of gaming, a parallel issue exists in that there are many different types ..."
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Abstract — The Web of Data is an emerging term used to describe a recent trend for publishing and interlinking previously disconnected datasets on the Web in order to make them more valuable and useful as a whole. In the world of gaming, a parallel issue exists in that there are many different types of games, player profiles and web-based discussion systems for gamers that remain disconnected from each other due to a lack of standardised methods for expressing gaming entities and events. In this paper, we describe an approach to link entities in-game and gamer profiles to items on the Web, and vice versa, that exploits Semantic Web technologies. Previous work focused on client-side capturing of gamer information for online profiles, and in the reverse direction, creating game content from open data on the Web. Other work has tackled how community requirements can assist in altering games and providing updated content for gamers. Our work proposes a more generally-applicable solution that would provide for a set of terms commonly found in games to be used on the Web, and to list suitable Web information sources (e.g. Wikia games wikis) that could be used to enhance in-game play. This work will extends previous efforts to create games ontologies, resulting in a more structured RDF games ontology describing game types, features, events and character profiles. We describe how our ontology could be linked to existing Semantic Web vocabularies for describing social data on the Web, including Friend of a Friend (FOAF) and Semantically Interlinked Online
