Name
Abstract | ||
|---|---|---|
Ontology summarization aspires to produce an abridged version of the original ontology that highlights its most representative concepts. In this paper, we present RDF Digest, a novel platform that automatically produces and visualizes summaries of RDF/S Knowledge Bases (KBs). A summary is a valid RDFS document/graph that includes the most representative concepts of the schema, adapted to the corresponding instances. To construct this graph our algorithm exploits the semantics and the structure of the schema and the distribution of the corresponding data/instances. A novel feature of our platform is that it allows summary exploration through extensible summaries. The aim of this demonstration is to dive in the exploration of the sources using summaries and to enhance the understanding of the various algorithms used. |
Year | Venue | Field |
|---|---|---|
2015 | International Semantic Web Conference (Posters & Demos) | Data mining,Graph,Ontology,Automatic summarization,Information retrieval,Computer science,Exploit,RDF Schema,Schema (psychology),RDF,Semantics |
DocType | Citations | PageRank |
Conference | 4 | 0.40 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Georgia Troullinou | 1 | 52 | 6.72 |
| Haridimos Kondylakis | 2 | 325 | 36.63 |
| Evangelia Daskalaki | 3 | 63 | 5.10 |
| Dimitris Plexousakis | 4 | 2586 | 326.38 |