Conference paper Open Access

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

Nishioka, Chifumi; Scherp, Ansgar


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.61386", 
  "title": "Information-theoretic Analysis of Entity Dynamics on the Linked Open Data Cloud", 
  "issued": {
    "date-parts": [
      [
        2016, 
        5, 
        29
      ]
    ]
  }, 
  "abstract": "<p>The Linked Open Data (LOD) cloud is expanding continuously. Entities appear, change,\u00a0and disappear over time. However, relatively little is known about the\u00a0dynamics of the entities, i. e., the characteristics of their temporal evolution. In\u00a0this paper, we employ clustering techniques over the dynamics of entities to\u00a0determine common temporal patterns. We define an entity as RDF resource\u00a0together with its attached RDF types and properties. The quality of the\u00a0clusterings is evaluated using entity features such as the entities\u2019 properties, RDF\u00a0types, and pay-level domain. In addition, we investigate to what extend entities\u00a0that share a feature value change together over time. As dataset, we use\u00a0weekly LOD snapshots over a period of more than three years provided by the\u00a0Dynamic Linked Data Observatory. Insights into the dynamics of entities on the\u00a0LOD cloud has strong practical implications to any application requiring fresh\u00a0caches of LOD. The range of applications is from determining crawling strategies\u00a0for LOD, caching SPARQL queries, to programming against LOD, and\u00a0recommending vocabularies for reusing LOD vocabularies.\u00a0</p>", 
  "author": [
    {
      "family": "Nishioka, Chifumi"
    }, 
    {
      "family": "Scherp, Ansgar"
    }
  ], 
  "type": "paper-conference", 
  "id": "61386"
}
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