2026-06-01T01:19:12Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/122532026-02-03T11:55:17Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
García-Godoy, María Jesús
author
López-Camacho, Esteban
author
Navas-Delgado, Ismael
author
Aldana-Montes, José Francisco
2016-10-24T09:48:54Z
2016-10-24T09:48:54Z
2016-10-24
http://hdl.handle.net/10630/12253
Linked Open Data community is constantly producing new
repositories that store information from different domains. The data
included in these repositories follow the rules proposed by the W3C
community, based on standards such as Resource Description Framework
(RDF) and the SPARQL query language. The main advantage of
this approach is the possibility of external developers accessing the data
from their applications. This advantage is also one of the main challenges
of this new technology due to the cost of exploring how the data is structured
in a given repository in order to construct SPARQL queries to
retrieve useful information. According to the reviewed literature, there
are no applications to reconstruct the underlying semantic data models
from an SPARQL endpoint. In this paper, we present an application
for the reconstruction of the data model as an OWL (Ontology
Web Language) ontology. This application, available as Open Source at
http://github.com/estebanpua/ontology-endpoint-extraction uses a set
of SPARQL queries to discover the classes and the (object and data)
properties for a given RDF database. A web application interface has
also been implemented for users to browse through classes, properties
of the ontology generated from the data structure (http://khaos.uma.
es/oee). The ontologies generated by this application can help users to
understand how the information is semantically organized, making easier
the design of SPARQL queries.
spa
by-nc-nd
World Wide Web (Sistema de recuperación de la información)
Re-constructing Hidden Semantic Data Models by Querying SPARQL Endpoints
conference output
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URL
https://riuma.uma.es/bitstreams/9bbdcce1-7fa8-4ee6-9155-3a38356a28c9/download
File
MD5
f17cc980a5432cc6b5d6d62a79eb077e
179094
application/pdf
dexa2016.pdf