Formal Linguistic Models and Knowledge Processing. A Structuralist Approach to Rule-Based Ontology Learning and Population

dc.contributor.author	Di Buono, Maria Pia
dc.date.accessioned	2016-08-08T08:04:07Z
dc.date.available	2016-08-08T08:04:07Z
dc.date.issued	2016-03-02
dc.identifier.uri	http://hdl.handle.net/10556/2173
dc.description	2013 - 2014	it_IT
dc.description.abstract	The main aim of this research is to propose a structuralist approach for knowledge processing by means of ontology learning and population, achieved starting from unstructured and structured texts. The method suggested includes distributional semantic approaches and NL formalization theories, in order to develop a framework, which relies upon deep linguistic analysis... [edited by author]	it_IT
dc.language.iso	en	it_IT
dc.publisher	Universita degli studi di Salerno	it_IT
dc.subject	Knowledge processing	it_IT
dc.subject	Ontology learning	it_IT
dc.subject	Ontology poplutation	it_IT
dc.title	Formal Linguistic Models and Knowledge Processing. A Structuralist Approach to Rule-Based Ontology Learning and Population	it_IT
dc.type	Doctoral Thesis	it_IT
dc.subject.miur	L-LIN/01 GLOTTOLOGIA E LINGUISTICA	it_IT
dc.contributor.coordinatore	Laudanna, Alessandro	it_IT
dc.description.ciclo	XIII n.s.	it_IT
dc.contributor.tutor	Monteleone, Mario	it_IT
dc.identifier.Dipartimento	Scienze Politiche, Sociali e della Comunicazione	it_IT

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