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- item-1 hasContent weisen-guo.
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- 414 creator yuh-jong-hu.
- 414 type InProceedings.
- 414 label "Semantic-Driven Enforcement of Rights Delegation Policies via the Combination of Rules and Ontologies".
- 414 sameAs 414.
- 414 abstract "We show that the semantic formal model for Open Digital Right Language (ODRL)-based rights delegation policies can be enforced and expressed as a combination of ontologies and rules, e.g., Semantic Web Rule Language (SWRL). Based on ODRL's expressions and data dictionary, a rights delegation ontology is proposed in this study. Furthermore, we express the rights delegation policy as a set of ontology statements, rules, and facts for usage and transfer rights delegation. When verifying ODRL formal semantics, our SWRL approach is superior to the generic restricted First Order Logic (FOL) model because we have an understandable formal semantics of policies for automatic machine processing and a higher expressive power for policy compliance checking. On the other hand, the rights delegation semantics shown as a generic full FOL might have a higher complexity of license verification, which results in a policy compliance checking that is possibly undecidable. A real usage rights delegation scenario for digital content is demonstrated in order to justify the feasibility of our formal semantic model for digital rights delegation. We hope this study will shed some light on future sensitive information usage and delegation rights controlled from a privacy protection perspective.".
- 414 hasAuthorList authorList.
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- 414 title "Semantic-Driven Enforcement of Rights Delegation Policies via the Combination of Rules and Ontologies".
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- item-1 hasContent yuh-jong-hu.
- 415 creator kai-kin-chan.
- 415 creator varun-ratnakar.
- 415 creator william-cheung.
- 415 creator yolanda-gil.
- 415 type InProceedings.
- 415 label "Privacy Enforcement in Data Analysis Workflows".
- 415 sameAs 415.
- 415 abstract "Collaborative e-Science projects commonly require data analysis to be performed on distributed data sets which may contain sensitive information. In addition to the credential-based privacy protection, ensuring proper handling of computerized data for disclosure and analysis is particularly essential in e-Science. In this paper, we propose a semantic approach for enforcing it through workflow systems. We define privacy preservation and analysis-relevant terms as ontologies and incorporate them into a proposed policy framework to represent and enforce the policies. We believe that workflow systems with the proposed privacy-awareness incorporated could ease the scientists in setting up privacy polices that suit for different types of collaborative research projects and can help them in safeguarding the privacy of sensitive data throughout the data analysis lifecycle.".
- 415 hasAuthorList authorList.
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- 415 title "Privacy Enforcement in Data Analysis Workflows".
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- item-1 hasContent yolanda-gil.
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- item-2 hasContent william-cheung.
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- item-4 hasContent kai-kin-chan.
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- 433 creator arne-koesling.
- 433 creator daniel-olmedilla.
- 433 creator ekaterini-ioannou.
- 433 creator juri-de-coi.
- 433 creator wolfgang-nejdl.
- 433 type InProceedings.
- 433 label "Access Control for Sharing Semantic Data across Desktops".
- 433 sameAs 433.
- 433 abstract "Personal Information Management (PIM) systems aim to provide convenient access to all data and metadata on a desktop to the user itself as well as the co-workers. Obviously, sharing desktop data with co-workers raises privacy and access control issues which have to be addressed. In this paper we discuss these issues, and present appropriate solutions. In line with the architecture of current PIM systems, our solutions cover all semantic data shared in such a context, i.e. all desktop resources as well as other data structures created by the system, such as metadata in an RDF store and inverted index entries created for efficient textual search. We discuss different kinds of policies to specify protection for desktop data and metadata, and describe our access control system to express and execute these policies efficiently. Additionally, we describe the extension of an existing PIM system, Beagle++, with our approach, as well as our experiments, with convincing results on performance and scalability.".
- 433 hasAuthorList authorList.
- 433 isPartOf proceedings.
- 433 title "Access Control for Sharing Semantic Data across Desktops".
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- item-1 hasContent ekaterini-ioannou.
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- item-2 hasContent juri-de-coi.
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- item-3 hasContent arne-koesling.
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- item-4 hasContent daniel-olmedilla.
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- item-5 hasContent wolfgang-nejdl.
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- 442 creator christoph-ringelstein.
- 442 creator steffen-staab.
- 442 type InProceedings.
- 442 label "Logging in Distributed Workflows".
- 442 sameAs 442.
- 442 abstract "Business needs are nowadays frequently realized by business workflows spanning multiple organizations. Current infrastructures, such as SOA, support this trend on the implementation side. As a side effect these issues of privacy and data protection arise, because data is shipped across organizational boundaries. At the same time increased awareness about protection of privacy and IPR have lead to comprehensive contractual and legal constructs - including the information of services consumers about the ways their data is handled. We propose to solve such information requests in widely distributed workflow executions by gathering the related information during the execution and attaching it directly to the processed data. Together with the data this information is passed through the workflow and at the end it is returned to the service consumer.".
- 442 hasAuthorList authorList.