Paper Info
Title
Personal Knowledge Advantage Machine: Pervasive Methods for Semantic Information Retrieval
Abstract
We present a new framework for visualization and retrieval of knowledge organized as a personal semantic web. This framework is an extension of other semantic web technologies and aims to achieve a fast, elegant solution to carrying your knowledge with you. The architecture described has been developed on the Google Android platform and embedded OpenGL. We call this a Personal Knowledge Advantage Machine (pKaM) as it is designed to access a personalized semantic network using a user-specific ontology. This also includes a graphical browser which enables a user visualize the portion of the semantic network that is relevant to the specific user context.
Year
DOI
Venue
2012
10.1109/WETICE.2012.109
Enabling Technologies: Infrastructure for Collaborative Enterprises
Keywords
Field
DocType
data visualisation,information retrieval,online front-ends,ontologies (artificial intelligence),semantic Web,ubiquitous computing,Google Android platform,embedded OpenGL,graphical browser,knowledge retrieval,knowledge visualization,pKaM,personal knowledge advantage machine,personal semantic Web,personalized semantic network,pervasive method,semantic Web technology,semantic information retrieval,user context,user-specific ontology,context,information retrieval,knowledge advantage machine,pervasive
World Wide Web,Semantic technology,Semantic search,Semantic Web Stack,Computer science,Semantic analytics,Semantic interoperability,Semantic grid,Social Semantic Web,Semantic computing
Conference
ISSN
ISBN
Citations 
1524-4547
978-1-4673-1888-4
0
PageRank 
References 
Authors
0.34
6
4
Name
Order
Citations
PageRank
Desjardins, F.100.34
Moparthi, R.200.34
Vangala, S.300.34
Wang, L.413913.98