Exploiting semantic web datasets: A graph pattern based approach

Honghan Wu*, Boris Villazon-Terrazas, Jeff Z. Pan, Jose Manuel Gomez-Perez

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

3 Citations (Scopus)


In the last years, we have witnessed vast increase of Linked Data datasets not only in the volume, but also in number of various domains and across different sectors. However, due to the nature and techniques used within Linked Data, it is non-trivial work for normal users to quickly understand what is within the datasets, and even for tech-users to efficiently exploit the datasets. In this paper, we propose a graph pattern based framework for realising a customisable data exploitation. Atomic graph patterns are identified as building blocks to construct facilities in various exploitation scenarios. In particular, we demonstrate how such graph patterns can facilitate quick understandings about RDF datasets as well as how they can be utilised to help data exploitation tasks like concept level browsing, query generation and data enrichment.

Original languageEnglish
Title of host publicationCSWS 2014
Subtitle of host publicationThe Semantic Web and Web Science
EditorsDongyan Zhao, Jianfeng Du, Haofen Wang, Peng Wang, Donghong Ji, Jeff Z. Pan
Place of PublicationBerlin
Number of pages7
ISBN (Electronic)9783662454954
ISBN (Print)9783662454947
Publication statusPublished - 2014

Publication series

NameCommunications in Computer and Information Science (CCIS)

Bibliographical note

This research has been funded by the European Commission within the 7th Framework Programme/Maria Curie Industry-Academia Partnerships and Pathways schema/PEOPLE Work Programme 2011 project K-Drive number 286348 (cf. http://www.kdrive-project.eu). This work was also supported by NSFC with Grant No. 61105007 and by NUIST with Grant No. 20110429.


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