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PARNT : A statistic based approach to extract non-taxonomic relationships of on...

Serra, Ivo; Girardi, Rosário; Novais, Paulo

Learning Non-Taxonomic Relationships is a subfield of Ontology learning that aims at automating the extraction of these relationships from text. This article proposes PARNT, a novel approach that supports ontology engineers in extracting these elements from corpora of plain English. PARNT is parametrized, extensible and uses original solutions that help to achieve better results when compared to other technique...


Analysing the problem and main approaches for ontology population

Faria, Carla; Girardi, Rosário; Novais, Paulo

Knowledge systems are a suitable computational approach to solve complex problems and to provide decision support. Ontologies are an approach for knowledge representation and Ontology Population looks for instantiating the constituent elements of an ontology, like properties and non-taxonomic relationships. Manual population by domain experts and knowledge engineers is an expensive and time consuming task. Thus...


A case study on the construction of application ontologies

Santos, Luís Eduardo; Girardi, Rosário; Novais, Paulo

Appropriate techniques for the development of application ontologies are needed and GAODT (“Goal-Oriented Application Ontology Development Technique”) technique described in this article contributes to this purpose. GAODT translates the goals and facts in natural language expressing the requirements of a knowledge-based system into rules and facts in first-order logic. Next, this knowledge base is mapped to an ...


The problem of learning non-taxonomic relationships of ontologiesn from text

Serra, Ivo; Girardi, Rosario; Novais, Paulo

Manual construction of ontologies by domain experts and knowledge engineers is a costly task. Thus, automatic and/or semi-automatic approaches to their development are needed. Ontology Learning aims at identifying its constituent elements, such as non-taxonomic relationships, from textual information sources. This article presents a discussion of the problem of Learning Non-Taxonomic Relationships of Ontologies...


Reviewing the problem of learning non-taxonomic relationships of ontologies fro...

Serra, Ivo; Girardi, Rosario; Novais, Paulo

Learning Non-Taxonomic Relationships is a sub-field of Ontology Learning that aims at automating the extraction of these relationships from text. This article discusses the problem of Learning Non-Taxonomic Relationships of ontologies and proposes a generic process for approaching it. Some techniques representing the state of the art of this field are discussed along with their advantages and limitations. Final...


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Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência Programa Operacional da Sociedade do Conhecimento União Europeia