Name
Title | ||
|---|---|---|
Mining Knowledge from Textual Databases: An Approach using Ontology-based Context Vectors |
Abstract | ||
|---|---|---|
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 u0026 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. |
Year | Venue | Field |
|---|---|---|
2005 | Artificial Intelligence and Applications | Ontology (information science),Ontology,Pattern generation,Information retrieval,Computer science,Open Biomedical Ontologies,Preprocessor,Knowledge extraction,Database |
DocType | Citations | PageRank |
Conference | 2 | 0.68 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandre L. Gonçalves | 1 | 17 | 6.22 |
| Victoria Uren | 2 | 1184 | 78.67 |
| Vinícius Medina Kern | 3 | 8 | 2.64 |
| Roberto Pacheco | 4 | 38 | 6.42 |