On Discovering Taxonomic Relations from the Web

Ontology Learning Part One - On Discovering Taxonomic Relations from the Web

Discovering Non-taxonomic Relations from the Web

The discovery of non-taxonomical relationships is one of the less studied knowledge acquisition tasks, even though it is a crucial point in ontology learning. We present an automatic and unsupervised methodology for extracting non-taxonomically related concepts and labelling relationships, using the whole Web as learning corpus. We also discuss how the obtained relationships may be automaticall...

Discovery of Non-Taxonomic Concept Pairs from Unstructured Text in Support of Ontology Learning

Ontology consists of concepts, taxonomic relations and non-taxonomic relations. The majority of the ontology learning tools focus on discovering concepts and taxonomic relations. Very little effort has been put on discovering non-taxonomic relations. In this paper, we present a concept correlation search framework to discover non-taxonomic concept pairs from unstructured text. Our framework fea...

NUMERICAL TAXONOMIC STUDY OF THE IRANIAN SPECIES OF ALYSSUM L. BASED ON MORPHOLOGICAL CHARACTERS

The genus Alyssum L. belongs to the subtribe Alyssinae, tribe Alysseae and family Cruciferae (Brassicaceae). This genus is one of the largest genera of the family of Cruciferae in Iran, and seems to be the most problematic genus in which the boundary of certain species is not completely clear due to the polymorphism of morphological characters. The main objective of this research is to stud...

Non-taxonomic Relations in Semantic Service Discovery and Composition

Existing approaches for semantic web service discovery are often based on subsumption reasoning, i.e. on evaluating taxonomic relations between the ontology concepts used in the service descriptions. If these concepts are not related taxonomically, no match is found. In this paper we present an approach that recognizes the importance of non-taxonomic relations. To increase recall, it uses opera...