Tailoring Privacy to Users’ Needs 1

Kobsa, Alfred

doi:10.1007/3-540-44566-8_52

Cited by 54 publications

(48 citation statements)

References 13 publications

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“…Interactions with learning footprints have privacy issues that are frequently raised and discussed in the context of user modeling [37,38]. These topics are closely related to the control of information.…”

Section: Tracking For Mirroringmentioning

confidence: 99%

Personalisation of Learning in Virtual Learning Environments

Verpoorten

Glahn

Kravčík

et al. 2009

Lecture Notes in Computer Science

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Abstract. Personalization of learning has become a prominent issue in the educational field, at various levels. This article elaborates a different view on personalisation than what usually occurs in this area. Its baseline is that personalisation occurs when learning turns out to become personal in the learner's mind. Through a literature survey, we analyze constitutive dimensions of this inner sense of personalisation. Here, we devote special attention to confronting learners with tracked information. Making their personal interaction footprints visible contrasts with the back-office usage of this data by researchers, instructors or adaptive systems. We contribute a prototype designed for the Moodle platform according to the conceptual approach presented here.

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Section: Tracking For Mirroringmentioning

confidence: 99%

Personalisation of Learning in Virtual Learning Environments

Verpoorten

Glahn

Kravčík

et al. 2009

Lecture Notes in Computer Science

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“…It has been studied in many different areas like data integration [6,7], data mining [8], and web services [9,10]. In [11] and similarly in [12], privacy has been studied in the context of data services.…”

Section: Introductionmentioning

confidence: 99%

Incorporating Data Concerns into Query Languages for Data Services

Ali

Pichler

Truong

et al. 2012

Enterprise Information Systems

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Abstract. More and more organizations provide their data on the web via data services -also referred to as Data as a Service (DaaS). Data services combine the strength of database systems and query languages on the one hand with the benefits of service-oriented architecture on the other hand. Data services are increasingly used for data integration. The data provided via data services is often associated with data concerns like privacy, licensing, pricing, quality of data, etc. Hence, data integration tools not only have to mitigate the heterogeneity in data formats and query languages. In addition, also the various data concerns should be preserved when data is published and utilized. Moreover, data service selection and data selection should be based on these data concerns. Current Data Integration systems using data services lack the ability to preserve data concerns while querying multiple services in an integrated environment. In this paper, we design a new querying system which takes data concerns into account. To this end we discuss several models of data concern aware querying and select the best suited one for our system. We describe a querying system where data concern awareness is integrated directly into the XQuery language. We also report on an implementation and experimental evaluation of this system.

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“…It has been studied in many different areas like data integration (Bhowmick et al, 2006;Clifton et al, 2004), data mining (Zhang and Zhao, 2007), and web services (Kobsa, 2001;Creese et al, 2009). In (Mrissa et al, 2010) and similarly in (McSherry, 2009), privacy has been studied in the context of data services.…”

Section: Introductionmentioning

confidence: 99%

Data Concern Aware Querying for the Integration of Data Services

Ali

Pichler

Truong

et al. 2011

Proceedings of the 13th International Conference on Enterprise Information Systems

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Abstract:There is an increasing trend for organizations to publish data over the web using data services. The published data is often associated with data concerns like privacy, licensing, pricing, quality of data, etc. This raises several new challenges. For instance, it must be ensured that data consumers utilize the data in the right way and are bound to the rules and regulations defined by the data owner and data service provider. Current Data Integration systems using data services lack the ability to preserve data concerns while querying multiple services in an integrated environment. In this paper, we design a new querying system which takes data concerns into account. It supports automatic service selection based on data concerns and perfectly fits into dynamic data integration applications.

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Tailoring Privacy to Users’ Needs 1

Cited by 54 publications

References 13 publications

Personalisation of Learning in Virtual Learning Environments

Personalisation of Learning in Virtual Learning Environments

Incorporating Data Concerns into Query Languages for Data Services

Data Concern Aware Querying for the Integration of Data Services

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