Earticle

초록

영어

Owing to the complex structure and multi-meaning, property alignment is generally regarded as a challenging problem in the context of linked data. In this paper, we propose a novel method to align properties between datasets of linked data. Considering the role of properties in RDF triples, we regard all properties of linked data as property functions, and convert the problem of property alignment to the similarity evaluation between property functions, while the equivalent instances as inputs of property functions. Based on the similarity of property functions, the property alignment process of linked data is introduced. In order to prove the validity, we use the method to align properties in five representative domains between DBpeida and YAGO, DBpedia and LinkedGeoData respectively. The experimental results show that our method is independent of the property naming rules and can retrieve some matching properties ignored by other methods. In addition, our method requires fewer entity co-reference links than the link statistical approach.

목차

Abstract
 1. Introduction
 2. Property Function
 3. Similarity between Property Functions
 4. Property Alignment Process
 5. Experiments and Discussions
 6. Conclusion
 Acknowledgement
 References

키워드

저자

• Yu Liu [ Computer School, Wuhan University, Luo-Jia-Shan Road 16, Wuhan 430072, China, College of Computer Science and Technology, Wuhan University of Science and Technology, Heping Road 947, Wuhan 430081, China; ]
• Shi-Hong Chen [ Computer School, Wuhan University, Luo-Jia-Shan Road 16, Wuhan 430072, China ]
• Jin-Guang Gu [ College of Computer Science and Technology, Wuhan University of Science and Technology, Heping Road 947, Wuhan 430081, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605