Ontology-Based Focused Crawling

Ontology learning has become a major area of research whose goal is to facilitate the construction of ontologies by decreasing the amount of effort required to produce an ontology for a new domain. However, there are few studies that attempt to automate the entire ontology learning process from the collection of domain-specific literature, to text mining to build new ontologies or enrich existing ones. In this paper, we present a framework of ontology learning that enables us to retrieve documents from the Web using focused crawling in a biological domain, amphibian morphology. We use a SVM (support vector machine) classifier to identify domain-specific documents and perform text mining in order to extract useful information for the ontology enrichment process. This paper reports on the overall system architecture and our initial experiments on the focused crawler and document classification.