Semi-automatic creation of domain ontologies with centroid based crawlers
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Various approaches exist for the semi-automatic creation of ontologies from text. This thesis shows how centroid based focused crawlers can be used for this purpose, specifically with domain ontologies in specialistic fields like that of linguistics as the target. The approach is highly modular: the highly specialistic output corpus of the Information Retrieval component of the approach will be input to its Ontology Engineering component, which can create ontologies. With this approach, domain ontologies can be created for subjects like natural language morphology. The overall approach that is proposed combines techniques from Information Retrieval and of Ontology Engineering. Some systems that could form the Ontology Engineering part of the approach are discussed. In this study it is examined, whether the use of centroid based focused crawlers can help in the semi-automatic creation of ontologies from text. More specifically, two types of focused crawlers will be compared: A general purpose centroid based focused crawler and a literature crawler. The approach that is proposed here is called "OntoSpider".