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Personalised Privacy Policies
[chapter]
2018
Communications in Computer and Information Science
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Internet services have become an important part of the daily life for a large number of people, and often deal with varying amounts of personal information. A privacy policy is a legal document governed by territorial laws that outlines the collection, usage, storage, and sharing of personal data. A known problem with such documents is its ambiguity and difficulty in comprehension for end users. The General Data Protection Regulation (GDPR) requires transparency regarding the provision of such
doi:10.1007/978-3-030-00063-9_14
fatcat:xyjr5ec2gncrrejxp54rwhpkxq
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... nformation to the data subject through its various obligations and rights. We propose a remodelling of the privacy policy based on provision of relevant information regarding personal data specific to the user. Such a policy will dynamically reflect the state of activities over personal data using a legal and comprehensive document, and can be used as a tool for the provision of rights and requests from data subjects. We support our discussion with an example use-case of a GDPR-based privacy policy adopted from online services. We present our analysis on identifying changes and our approach towards the representation and creation of such dynamic policies.
Extracting Provenance Metadata from Privacy Policies
[chapter]
2018
Lecture Notes in Computer Science
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Privacy policies are legal documents that describe activities over personal data such as its collection, usage, processing, sharing, and storage. Expressing this information as provenance metadata can aid in legal accountability as well as modelling of data usage in real-world use-cases. In this paper, we describe our early work on identification, extraction, and representation of provenance information within privacy policies. We discuss the adoption of entity extraction approaches using
doi:10.1007/978-3-319-98379-0_32
fatcat:khdpyc7orvh4foa7gjz5monlhe
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... ts and keywords defined by the GDPRtEXT resource along with using annotated privacy policy corpus from the UsablePrivacy project. We use the previously published GDPRov ontology (an extension of PROV-O) to model provenance model extracted from privacy policies.
Responding to the Market: The Impact of the Rise of Corporate Law Firms on Elite Legal Education in India
[chapter]
The Indian Legal Profession in the Age of Globalization
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
WBNUJS-KOLKATA NLU-JODHPUR All_India_Gen All_India_Gen All_India_Gen All_India_Gen All_India_Gen All_India_Gen 10 110110015 AAYUSH AGARWAL 54 120210100 MATHEW NEVIN THOMAS 98 150110089 AKSHITA NITEEN PANDIT ...
190110517 PRAGYA PATEL 20/4/1996 F N OBC 4 C.G. 1 NONE HNLU-RAIPUR State_Domicile_OBC 1353 010110503 NIKHILESH AJAYAPAL 08/10/1994 M Y GENERAL 4 OTHERS 1 NONE RGNUL-PATIALA All_India_PWD 1354 110110348 JITENDRA ...
doi:10.1017/9781316585207.016
fatcat:34eykafpwzhw5jmmv7fnfolnoe