Mining knowledge from textual databases:an approach using ontology-based context vectors
Alexandre Leopoldo Gonçalves, Victoria S. Uren, Vinı́cius Medina Kern, Roberto Carlos dos Santos Pacheco · Aston Publications Explorer (Aston University) · 2005
We propose a semantic mining approach to knowledge discovery based on context vectors and ontology. The approach is illustrated using ontology and resumes from a Science & Technology database as inputs, and the involved phases in the proposed model are described emphasizing preprocessing and pattern generation. The main contribution of this paper is the proposal of a semantic component toward data mining. Initial results show a suitable cluster generation in terms of number and quality. The approach produced better classification when comparing the generated clusters against a set of vectors representing knowledge areas, thus allowing for improved knowledge discovery.