Resumen

BLANDON ANDRADE, Juan Carlos  y  ZAPATA JARAMILLO, Carlos Mario. A State-of-the-art Review About Ontology Population. Ing. Desarro. [online]. 2018, vol.36, n.1, pp.259-284. ISSN 0122-3461.  https://doi.org/10.14482/inde.36.1.10949.

The main goal of ontologies in computing is related to the definition of a common vocabulary for describing basic concepts and relationships on a specific domain. Main components of ontologies are classes- concepts-, instances, properties, relations, and axioms, among other elements. The ontology population process is intended to receive an ontology as input in order to extract and relate the instances of each ontology class from heterogenous information sources. In this paper we perform a systematic state-of-the-art review about ontology population. We select papers from specialized databases and we create a research question for driving paper search. The results of our review points out ontology population as an interesting topic for researchers. Even though we have several techniques for driving the process, fully automated tools are still missing and we also miss high levels of precision and recall.

Palabras clave : Information extraction; machine learning; natural lan- guage processing; ontologies; ontology population; systematic state- of-the-art review.

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