Contextualization of a RDF knowledge base in the VIKEF project

Authors:
Heiko Stoermer;Ignazio Palmisano;Domenico Redavid;Luigi Iannone;Paolo Bouquet;Giovanni Semeraro
Affiliations:
Dept. of Information and Communication Tech., University of Trento, Trento, Italy;Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italy;Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italy;Computer Science Department, Liverpool University, Liverpool, UK;Dept. of Information and Communication Tech., University of Trento, Trento, Italy;Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italy
Venue:
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
Year:
2006

Citing 3
Cited 2

Local models semantics, or contextual reasoning = locality + compatibility

Artificial Intelligence
Named graphs, provenance and trust

WWW '05 Proceedings of the 14th international conference on World Wide Web
REDD: an algorithm for redundancy detection in RDF models

ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications

Knowledge Management in Role Based Agents

ESAW '09 Proceedings of the 10th International Workshop on Engineering Societies in the Agents World X
A context-based architecture for RDF knowledge bases: approach, implementation and preliminary results

RR'07 Proceedings of the 1st international conference on Web reasoning and rule systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Due to the simplicity of RDF data model and semantics, complex application scenarios in which RDF is used to represent the application data model raise important design issues. Modelling e.g. the temporary evolution, relevance, trust and provenance in Knowledge Bases require more than just a set of universally true statements, without any reference to a situation, a point in time, or generally a context. Our proposed solution is to use the notion of context to separate statements that refer to different contextual information, which could so far not explicitly be tied to the statements. In this paper we describe a practical solution to this problem, which has been implemented in the VIKEF project, which deals with making explicit and intelligently useable information contained in vast collections of documents, databases and metadata repositories.