Privacy in the Semantic Web: What Policy Languages Have to Offer

Duma, Claudiu; Herzog, Almut; Shahmehri, Nahid

doi:10.1109/policy.2007.39

Cited by 30 publications

(22 citation statements)

References 9 publications

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“…As shown in Table 1, Ponder, Rei, PeerTrust and Protune support delegation but only PeerTrust and Protune also allow for negotiations and both strong and lightweight evidences. However, Protune is the only policy language also supporting advanced explanation mechanisms and seems to be one the most complete language (as it is also demonstrated in [5]). On the other hand, Protune assumes by default that resources are private, therefore not allowing for the specification of negative authorizations, which is a feature supported by other frameworks like Rei or KAoS.…”

Section: Comparison Of Existing Policy Languagesmentioning

confidence: 71%

Exploiting Policies in an Open Infrastructure for Lifelong Learning

Coi

Kärger

Koesling

et al. 2007

Creating New Learning Experiences on a Global Scale

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Abstract. Nowadays, people are in need for continuous learning in order to keep up to date or be upgraded in their job. An infrastructure for lifelong learning requires continuous adaptation to learners needs and must also provide flexible ways for students to use and personalize them. Controlling who can access a document, specifying when a student may be contacted for interactive instant messaging or periodical reminders in order to increase motivation for collaboration are just some examples of typical statements that may be specified by e.g., learners and learning management system administrators. This paper shows how policies can represent a way of expressing these statements and describes the extra benefits of its adoption like flexibility, dynamicity and interoperability.

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Section: Comparison Of Existing Policy Languagesmentioning

confidence: 71%

Exploiting Policies in an Open Infrastructure for Lifelong Learning

Coi

Kärger

Koesling

et al. 2007

Creating New Learning Experiences on a Global Scale

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show abstract

“…Policy languages have been studied in detail in the fields of access control, e.g., surveyed in [4], and privacy restrictions [11]. Notably, PDL [10] is a declarative policy language based on logic programming which maps events in a system to actions.…”

Section: Resultsmentioning

confidence: 99%

The IMPL Policy Language for Managing Inconsistency in Multi-Context Systems

Eiter

Fink

Ianni

et al. 2013

Lecture Notes in Computer Science

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Abstract. Multi-context systems are a formalism for interlinking knowledge based system (contexts) which interact via (possibly nonmonotonic) bridge rules. Such interlinking provides ample opportunity for unexpected inconsistencies. These are undesired, and come in different categories: some are serious and must be inspected by a human operator, while some should simply be repaired automatically. However, no one-fits-all solution exists, as these categories depend on the application scenario. To tackle inconsistencies in a general way, we thus propose a declarative policy language for inconsistency management in multicontext systems. We define syntax and semantics, give methodologies for applying the language in real world applications, and discuss a possible implementation.

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“…The pioneer paper of Seamons et al paved the way to future research on policy language comparisons like Tonti et al [22], Anderson [2] and Duma et al [14]: although [22] actually presents a comparison of two ontology-based languages (namely KAoS and Rei) with the object-oriented language Ponder, the work is rather an argument for ontology-based systems, since it clearly shows the advantages of ontologies.…”

Section: Related Workmentioning

confidence: 99%

“…Finally [14] provides a comparison specifically targeted to giving insights and suggestions to policy writers (designers): therefore the criteria, according to which the comparison is carried out, are mainly practical ones and scenariooriented, whereas more abstract issues are considered out of scope and hence not addressed.…”

Section: Related Workmentioning

confidence: 99%

“…We acknowledge the remark made by [14], according to which a comparison among policy languages on the basis of the criteria presented in [20] is only partially satisfactory for a designer, since general features do not help in understanding which kind of policies can be practically expressed with the constructs available in a language. Therefore in our comparison we selected a good deal of criteria having a concrete relevance (e.g., whether actions can be defined within a policy and executed during its evaluation, how the result of a request looks like, whether the language provides extensibility mechanisms and to which extent .…”

Section: Presentation Of the Considered Criteriamentioning

confidence: 99%

See 1 more Smart Citation

Rule-Based Policy Representations and Reasoning

Bonatti

Coi

Olmedilla

et al. 2009

Semantic Techniques for the Web

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Abstract. Trust and policies are going to play a crucial role in enabling the potential of many web applications. Policies are a well-known approach to protecting security and privacy of users in the context of the Semantic Web: in the last years a number of policy languages were proposed to address different application scenarios.The first part of this chapter provides a broad overview of the research field by accounting for twelve relevant policy languages and comparing them on the strength of ten criteria which should be taken into account in designing every policy language. By comparing the choices designers made in addressing such criteria, useful conclusions can be drawn about strong points and weaknesses of each policy language.The second part of this chapter is devoted to the description of the Protune framework, a system for specifying and cooperatively enforcing security and privacy policies on the Semantic Web developed within the network of excellence REWERSE. We describe the framework's functionalities, provide details about their implementation, and report the results of performance evaluation experiments.

show abstract

Privacy in the Semantic Web: What Policy Languages Have to Offer

Cited by 30 publications

References 9 publications

Exploiting Policies in an Open Infrastructure for Lifelong Learning

Exploiting Policies in an Open Infrastructure for Lifelong Learning

The IMPL Policy Language for Managing Inconsistency in Multi-Context Systems

Rule-Based Policy Representations and Reasoning

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