Ontology learning from text: Method for learning axioms
Ana Bertha Rios-Alvarado, Iván López-Arévalo · 2012
Ontologies provide a structural organizational knowledge, they support the exchange and sharing of information. Moreover, one of the main benefits of using ontologies is the ability to infer new knowledge that allows the development of more realistic applications. The need for overcoming the bottleneck, given in the knowledge acquisition by the manual construction of ontologies, has motivated studies on semi-automatic and automatic methods to build ontologies. One of the main sources of knowledge created by humans is given by text resources. The analysis and extraction of the elements of an ontology from texts is a very hard task. In this report we focus on present the method for learning axioms from text based on named entity recognition. In our proposal we exploit corpora with high occurrence of named entities that give information on the individuals in a specific domain knowledge expressed by the corpus. Given the set of identified named entities the axiomatic relations such as subClassOf, disjointWith, and equivalentClass were identified. For this purpose a named entity recognition tool was used and the linguistic context, where classes co-occur, was extracted. This report of activities corresponds to the thrid year of doctoral studies.