文章基本信息

标题：A TECHNIQUE TO USER PROFILING ONTOLOGY MINING AND RELATIONSHIP RANKING
本地全文：下载
作者：S.VIGNESHWARI ; DR. M. ARAMUDHAN
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：58
期号：3
出版社：Journal of Theoretical and Applied
摘要：Ontologies play a crucial role in emerging fields of web technology like e-commerce, expert systems and so on. User preferences and user interesting topics can be captured through User Profiling Ontologies (UPO). The proposed framework discussed here, is to construct a personalized UPO, based on the interest of a particular user. The constructed UPO can be much more strengthened, by establishing relationships among the concepts. Web Ontology Language (OWL) is a standard ontology language used for knowledge representation on the web. Using the proposed information gathering model, the similarity measures between the concepts are identified. Based on the priority of the similarity measures, strong relationships can be established among the concepts in the ontology. It is obvious that more relevant results can be produced using this model, based on precision, recall and weighted harmonic mean. As well as the time of concept retrieval is also less using this approach of establishing relationships. This can be implemented by utilizing the OWL properties and the results are given.
关键词：Ontology; Preprocessing; Crawler; UPO; Precision; OWL; Object Properties; Semantic Similarity; Relationships