Publication Type

Book Chapter

Publication Date

1-2005

Abstract

Resource description framework (RDF) is becoming a popular encoding language for describing and interchanging metadata of web resources. In this paper, we propose an Apriori-based algorithm for mining association rules (AR) from RDF documents. We treat relations (RDF statements) as items in traditional AR mining to mine associations among relations. The algorithm further makes use of a domain ontology to provide generalization of relations. To obtain compact rule sets, we present a generalized pruning method for removing uninteresting rules. We illustrate a potential usage of AR mining on RDF documents for detecting patterns of terrorist activities. Experiments conducted based on a synthetic set of terrorist events have shown that the proposed methods were able to derive a reasonably small set of association rules capturing the key underlying associations.

Discipline

Databases and Information Systems | Information Security

Research Areas

Data Science and Engineering

Publication

Advanced methods for knowledge discovery from complex data

Editor

BANDYOPADHYAY, Sanghamitra; MAULIK, Ujjwal; HOLDER, Lawrence B.

First Page

231

Last Page

252

ISBN

9781849969918

Identifier

10.1007/1-84628-284-5_9

Publisher

Springer

City or Country

London

Additional URL

https://doi.org/10.1007/1-84628-284-5_9

Download

Share

COinS