Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

Download BibTeX

Title

Faster frequent pattern mining from the semantic web

Authors

[ 1 ] Instytut Informatyki (II), Wydział Informatyki i Zarządzania, Politechnika Poznańska | [ P ] employee

Year of publication

2006

Chapter type

paper

Publication language

english

Abstract

EN In this paper we propose a method for frequent pattern discovery from the knowledge bases represented in OWL DLP. OWL DLP, known also as Description Logic Programs, is the intersection of the expressivity of OWL DL and Logic Programming. Our method is based on a special form of a trie data structure. A similar structure was used for frequent pattern discovery in classical and relational data mining settings giving significant gain in efficiency. Our approach is illustrated on the example ontology.

Pages (from - to)

121 - 130

DOI

10.1007/3-540-33521-8_12

URL

https://link.springer.com/chapter/10.1007/3-540-33521-8_12

Book

Intelligent Information Processing and Web Mining. Proceedings of the International IIS: IIPWM’06 Conference held in Ustroń, Poland, June 19-22, 2006

Presented on

Intelligent Information Processing and Web Mining Conference IIPWM'06, 19-22.06.2006, Ustroń, Poland

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.