Sports Information Retrieval with Semantic Relationships of Ontology

被引:0
作者
Nwe Ni Aung [1 ]
Thinn Thu Naing [1 ]
机构
[1] Univ Comp Studies, Yangon, Myanmar
来源
INFORMATION AND FINANCIAL ENGINEERING, ICIFE 2011 | 2011年 / 12卷
关键词
Semantic Web; Sports Domain Ontology; information retrieval; First-Order Logic;
D O I
暂无
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In the World Wide Web, Information Retrieval has become an everyday activity. The search engine associated with web browsers are used to find information relating to most domains of human activity. With the development of the Semantic Web, ontology is playing a vital role in many research areas. An ontology is a formal representation of a set of concepts within a domain and the relationships between those concepts. It is used to reason about the properties of that domain, and may be used to define the domain. Most of Ontology-based information retrieval systems use the concepts mapping. In this paper, information retrieval use semantic relationships between ontology. of concepts. These ontology concepts based information retrieval cannot get the relevant semantic information and the retrieved results are not precise, ambiguous and require to clustering. By using these semantic relationships, they can retrieve more relevant information for sports information retrieval and these semantic relationship based queries are more correct results than concepts based queries. In this paper, we present information retrieval from Sports Domain Ontology has been using the First-Order Logic (FOL) rules and retrieve relevant semantic relationships between concepts from it.
引用
收藏
页码:86 / 92
页数:7
相关论文
共 3 条
[1]  
Grobe M., 2009, P 37 ANN ACM SIGUCCS, P131
[2]  
Horridge M., 2004, PRACTICAL GUIDE BUIL, P16
[3]  
Russell SJ, 2010, Artificial Intelligence: A Modern Approach