Automatic creation and analysis of a linked data cloud diagram

Alexander Arturo Mera Caraballo*, Bernardo Pereira Nunes, Giseli Rabello Lopes, Luiz André Portes Paes Leme, Marco Antonio Casanova

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Datasets published on the Web and following the Linked Open Data (LOD) practices have the potential to enrich other LOD datasets in multiple domains. However,the lack of descriptive information,combined with the large number of available LOD datasets,inhibits their interlinking and consumption. Aiming at facilitating such tasks,this paper proposes an automated clustering process for the LOD datasets that,thereby,provide an up-to-date description of the LOD cloud. The process combines metadata inspection and extraction strategies,community detection methods and dataset profiling techniques. The clustering process is evaluated using the LOD diagram as ground truth. The results show the ability of the proposed process to replicate the LOD diagram and to identify new LOD dataset clusters. Finally,experiments conducted by LOD experts indicate that the clustering process generates dataset clusters that tend to be more descriptive than those manually defined in the LOD diagram.

Original languageEnglish
Title of host publicationWeb Information Systems Engineering – WISE 2016 - 17th International Conference, Proceedings
EditorsWojciech Cellary, Jianmin Wang, Mohamed F. Mokbel, Hua Wang, Rui Zhou, Yanchun Zhang
PublisherSpringer Verlag
Pages417-432
Number of pages16
ISBN (Print)9783319487397
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event17th International Conference on Web Information Systems Engineering, WISE 2016 - Shanghai, China
Duration: 8 Nov 201610 Nov 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10041 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Web Information Systems Engineering, WISE 2016
Country/TerritoryChina
CityShanghai
Period8/11/1610/11/16

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