TY - GEN
T1 - Exploiting semantic web datasets
T2 - A graph pattern based approach
AU - Wu, Honghan
AU - Villazon-Terrazas, Boris
AU - Pan, Jeff Z.
AU - Gomez-Perez, Jose Manuel
N1 - 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.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84911912607&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-45495-4_15
DO - 10.1007/978-3-662-45495-4_15
M3 - Published conference contribution
AN - SCOPUS:84911912607
SN - 9783662454947
T3 - Communications in Computer and Information Science (CCIS)
SP - 167
EP - 173
BT - CSWS 2014
A2 - Zhao, Dongyan
A2 - Du, Jianfeng
A2 - Wang, Haofen
A2 - Wang, Peng
A2 - Ji, Donghong
A2 - Pan, Jeff Z.
PB - SPRINGER HEIDELBERG
CY - Berlin
ER -