UMBC ebiquity

Semantic knowledge and privacy in the physical web

Authors: Prajit Kumar Das, Abhay L. Kashyap, Gurpreet Singh, Cynthia Matuszek, Tim Finin, and Anupam Joshi

Book Title: Proceedings of the 4th Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn2016) co-located with 15th International Semantic Web Conference (ISWC 2016)

Date: October 18, 2016

Abstract: In the past few years, the Internet of Things has started to become a reality; however, its growth has been hampered by privacy and security concerns. One promising approach is to use Semantic Web technologies to mitigate privacy concerns in an informed, flexible way. We present CARLTON, a framework for managing data privacy for entities in a Physical Web deployment using Semantic Web technologies. CARLTON uses context-sensitive privacy policies to protect privacy of organizational and personnel data. We provide use case scenarios where natural language queries for data are handled by the system, and show how privacy policies may be used to manage data privacy in such scenarios, based on an ontology of concepts that can be used as rule antecedents in customizable privacy policies.

Type: InProceedings

Publisher: CEUR

Series: Vol-1750

Tags: physical web, internet of things, privacy, context sensitive policy, android, mobile, natural language, knowledge base

Google Scholar: search

Number of downloads: 612


Available for download as

size: 517125 bytes

size: 1966311 bytes

Related Projects:

Past Project

 Platys: From Position to Place in Next Generation Networks.



  1. (Publication) Semantic knowledge and privacy in the physical web has resource (Resource) UMBC IOT Android client