Paper Info
Title
Access Control for Sharing Semantic Data across Desktops
Abstract
Personal Information Management (PIM) systems aim to pro- vide 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 ad- dressed. In this paper we discuss these issues, and present appropriate solutions. In line with the architecture of current PIM systems (8,2,11, 15), 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 ecient textual search. We discuss dierent kinds of policies to specify protection for desktop data and metadata, and describe our access con- trol system to express and execute these policies eciently. Additionally, we describe the extension of an existing PIM system, Beagle++, with our approach, as well as our experiments, with convincing results on perfor- mance and scalability.
Year
Venue
Keywords
2007
PEAS
access control,personal information management,data structure,inverted index
Field
DocType
Citations 
Inverted index,Data structure,Metadata repository,Metadata,World Wide Web,Personal information management,Computer science,Access control,RDF,Database,Semantic data model
Conference
4
PageRank 
References 
Authors
0.43
11
5
Name
Order
Citations
PageRank
Ekaterini Ioannou120715.20
Juri Luca De Coi2896.74
Arne Wolf Koesling3573.71
Daniel Olmedilla466249.51
Wolfgang Nejdl56633556.13