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cuent/kodar

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KODAR: Clustering application

The aim of this application is to discover potential areas of knowledge and similar research areas based on keywords of research papers.

Data

The data is extracted from an SPARQL endpoint:

You could execute this query to get last results:

PREFIX dct: <http://purl.org/dc/terms/>
PREFIX bibo: <http://purl.org/ontology/bibo/>
PREFIX foaf: <http://xmlns.com/foaf/0.1/>
SELECT ?name ?author ?publication ?title (group_concat(distinct ?keyword;separator=", ") as ?keywords)
WHERE {
 graph <http://ucuenca.edu.ec/wkhuska> {
 	?author foaf:name ?name.
	?author foaf:publications ?publication. 
	?publication dct:title ?title.
 	?publication bibo:Quote ?keyword.
 }
} GROUP BY ?name ?author ?publication ?title
PREFIX dct: <http://purl.org/dc/terms/>
PREFIX bibo: <http://purl.org/ontology/bibo/>
PREFIX foaf: <http://xmlns.com/foaf/0.1/>
SELECT distinct ?name ?author ?publication (group_concat(distinct ?tit;separator = ",") as ?title) (group_concat(distinct ?keyword;separator=",") as ?keywords)
FROM <http://ucuenca.edu.ec/wkhuska>
WHERE {
 ?author foaf:publications ?publication. 
 ?author foaf:name ?name.
 ?publication bibo:Quote ?keyword.
 ?publication dct:title ?tit.
} GROUP BY ?author ?publication ?name

For the experiment I try with this dataset.

Data Analysis

Evaluation

Contribution

Try yourself

System Requirements

  • Java JRE 1.7.0_45 or superior
  • Maven 3 or superior
  • Java Application Server (Tomcat 7.x, Jetty 6.x or GlassFish 4.x)

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The aim of this application is to discover potential areas of knowledge and similar research areas based on keywords of research papers.

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