Automatic Multi-schema Integration Based on User Preference
Schema integration plays a central role in numerous database applications, such as Deep Web, DataSpaces and Ontology Merging. Al though there have been many researches on schema integration, they all neglect user prcference which is a very important factor for improving the quality of mediated schemas. In this paper, we propose the auto matic multi-schema integration based on user preference. A new con cept named reference schema is introduced to represent user preference. This concept can guide the process of integration to generate mediated schemas according to user preference. Different from previous solutions, our approach employs F-measure and attribute density to measure the similarity between schemas. Based on this similarity, we design a top-k ranking algorithm that retrieves k mediate schemas which users really expect. The key component of the algorithm is a pruning strategy which makes use of Divide and Conqucr to narrow down the search space of the candidate schemas. Finally, the experimental study demonstrates the effectiveness and good performance of our approach.
Guohui Ding Guoren Wang Junchang Xin Huichao Geng
Key Laboratory of Medical Image Computing (NEU), Ministry of Education College of Information Scienc College of Information Science & Engineering, Northeastern University, China
国际会议
11th International Conference,WAIM 2010(第十一届网络时代管理国际会议)
九寨沟
英文
704-716
2010-07-14（万方平台首次上网日期，不代表论文的发表时间）