{"title":"XMap++: A novel semantic approach for alignment of OWL-Full ontologies based on semantic relationship using WordNet","authors":"M. Khadir, A. Djeddai, W. Djeddi","doi":"10.1109/ISIICT.2011.6149595","DOIUrl":null,"url":null,"abstract":"Automatic correspondence generation between two ontologies, is of great difficulty due, on one hand, to conceptual and habit differences between ontology development communities. On the other hand, alignment difficulties grew exponentially with the number and volume of the involved data. This work presents a proposition of an alignment algorithm XMap++; where the approach originality consists in taking into account the context of the alignment in order to overcome the problem of large size ontologies containing similar classes as well as a semantic similarity measure based on Wordnet. The weighted, sum in addition to the sigmoid function, which has to be shifted according to the weight of the linguistic affinity and to fit our input range of [0 to 1] is also used. Finally, the proposed algorithm is implemented as a Protege plug-in, and tested on a series of certified test units. A comparison in terms of results is also made with OLA (OWL lite Alignment) in terms of precision and fallout.","PeriodicalId":266498,"journal":{"name":"International Symposium on Innovations in Information and Communications Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Innovations in Information and Communications Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIICT.2011.6149595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Automatic correspondence generation between two ontologies, is of great difficulty due, on one hand, to conceptual and habit differences between ontology development communities. On the other hand, alignment difficulties grew exponentially with the number and volume of the involved data. This work presents a proposition of an alignment algorithm XMap++; where the approach originality consists in taking into account the context of the alignment in order to overcome the problem of large size ontologies containing similar classes as well as a semantic similarity measure based on Wordnet. The weighted, sum in addition to the sigmoid function, which has to be shifted according to the weight of the linguistic affinity and to fit our input range of [0 to 1] is also used. Finally, the proposed algorithm is implemented as a Protege plug-in, and tested on a series of certified test units. A comparison in terms of results is also made with OLA (OWL lite Alignment) in terms of precision and fallout.
一方面,由于本体开发社区之间的概念和习惯差异,在两个本体之间自动生成对应关系非常困难。另一方面,对齐困难随着所涉及数据的数量和体积呈指数级增长。本文提出了一种对齐算法xmap++;该方法的独创性在于考虑了对齐的上下文,以克服包含相似类的大型本体的问题,以及基于Wordnet的语义相似性度量。除了sigmoid函数之外,还使用了加权和,该函数必须根据语言亲和度的权重进行移位,以拟合我们的输入范围[0到1]。最后,将该算法作为Protege插件实现,并在一系列认证测试单元上进行了测试。在结果方面也与OLA (OWL life Alignment)在精度和沉降方面进行了比较。