publication . Conference object . Other literature type . 2016

Information-theoretic Analysis of Entity Dynamics on the Linked Open Data Cloud

Ansgar Scherp;
Open Access
  • Published: 30 May 2016
Abstract
<p>The Linked Open Data (LOD) cloud is expanding continuously. Entities appear, change, and disappear over time. However, relatively little is known about the dynamics of the entities, i. e., the characteristics of their temporal evolution. In this paper, we employ clustering techniques over the dynamics of entities to determine common temporal patterns. We define an entity as RDF resource together with its attached RDF types and properties. The quality of the clusterings is evaluated using entity features such as the entities’ properties, RDF types, and pay-level domain. In addition, we investigate to what extend entities that share a feature value change toget...
Subjects
ACM Computing Classification System: ComputingMethodologies_COMPUTERGRAPHICS
free text keywords: Uncategorized, zenodo
Funded by
EC| MOVING
Project
MOVING
Training towards a society of data-savvy information professionals to enable open leadership innovation
  • Funder: European Commission (EC)
  • Project Code: 693092
  • Funding stream: H2020 | RIA
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Conference object . 2016
Provider: ZENODO
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Other literature type . 2016
Provider: FigShare
Zenodo
Other literature type . 2016
Provider: Datacite
Zenodo
Other literature type . 2016
Provider: Datacite
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publication . Conference object . Other literature type . 2016

Information-theoretic Analysis of Entity Dynamics on the Linked Open Data Cloud

Ansgar Scherp;