KNOWLEDGE EXTRACTION GUIDED BY ONTOLOGIES Database Marketing Application
The knowledge extraction in large databases has being known as a long term and interactive project. In spite of such complexity and different options for the knowledge achievement, there is a research opportunity that could be explored, throughout the ontologies support. Then this support may be used for knowledge sharing and reuse. This paper describes a research of an ontological approach for leveraging semantic content of ontologies to improve knowledge extraction in a oil company marketing databases. We attain to analyze how ontologies and knowledge discovery process may interoperate and present our efforts to propose a possible framework for a formal integration.
Ontologies Knowledge Discovery Databases Data Mining
Filipe Mota Pinto Teresa Guarda
Politechnic Institute of Leiria, Leiria, Portugal Superior Institute of Languages and Administration of Leiria, Leiria, Portugal
国际会议
13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)
北京
英文
2206-2211
2011-06-08(万方平台首次上网日期,不代表论文的发表时间)