摘要
基于HBase的本体复用方法,是通过统计概念间关系在不同本体出现的频度来产生其可信度,最后形成带有统计信息和领域信息的大型概念空间。利用当前流行的开源云存储技术HBase表来存储具有海量信息的此概念空间,实现高效的检索功能,最终实现本体的复用。此方法规避了繁琐的异构本体映射过程,具有较好的适用性。并且所融合的本体数量越多,可信度越高,并且这种方法自动化程度高,不需要反复的人工参与,所以实用性比较强。
The method of ontology reuse based on HBase, after statistic learning on concept relations, the frequency of different ontologies appeared in concept relations reveals certalny factor and helped to build a large-scale concept relations network including the statistic information and domain categories. Using the popular open source cloud storage technology HBase to store the concept of space can achieve efficient search function, and ultimately ontology reuse. This approach avoids the tedious process of heterogeneous ontology mapping, has good applicability, and the greater the number of ontology reusing is, the higher the credibility is. With high degree of automation 0 this approach does not require complicated human intervention, so its usefulness is stronger.
出处
《计算机技术与发展》
2012年第6期57-60,共4页
Computer Technology and Development
基金
江苏省自然科学基金(BK2010130)
