{"title":"语义web推理中基于MapReduce的分布式规则执行机制","authors":"Haijiang Wu, Jie Liu, Dan Ye, Hua Zhong, Jun Wei","doi":"10.1145/2532443.2532457","DOIUrl":null,"url":null,"abstract":"Rule execution is the core step of rule-based semantic web reasoning. However, most existing approaches are centralized, which cannot scale out to reason big semantic web datasets. In this paper, we described a kind of semantic web rule execution mechanism using MapReduce programming model, which not only can handle RDFS and OWL ter Horst semantic rules, but also can be used in SWRL reasoning. Theoretical analysis is present on the scalability of this rule execution mechanism. Result shows that it can scale well as Mapreduce framework.","PeriodicalId":362187,"journal":{"name":"Proceedings of the 5th Asia-Pacific Symposium on Internetware","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A distributed rule execution mechanism based on MapReduce in sematic web reasoning\",\"authors\":\"Haijiang Wu, Jie Liu, Dan Ye, Hua Zhong, Jun Wei\",\"doi\":\"10.1145/2532443.2532457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rule execution is the core step of rule-based semantic web reasoning. However, most existing approaches are centralized, which cannot scale out to reason big semantic web datasets. In this paper, we described a kind of semantic web rule execution mechanism using MapReduce programming model, which not only can handle RDFS and OWL ter Horst semantic rules, but also can be used in SWRL reasoning. Theoretical analysis is present on the scalability of this rule execution mechanism. Result shows that it can scale well as Mapreduce framework.\",\"PeriodicalId\":362187,\"journal\":{\"name\":\"Proceedings of the 5th Asia-Pacific Symposium on Internetware\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th Asia-Pacific Symposium on Internetware\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2532443.2532457\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th Asia-Pacific Symposium on Internetware","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2532443.2532457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
摘要
规则执行是基于规则的语义web推理的核心步骤。然而，大多数现有的方法都是集中式的，无法扩展到大型语义web数据集。本文利用MapReduce编程模型描述了一种语义web规则执行机制，该机制不仅可以处理RDFS和OWL ter Horst语义规则，还可以用于SWRL推理。对该规则执行机制的可扩展性进行了理论分析。结果表明，该框架与Mapreduce框架具有良好的可扩展性。
A distributed rule execution mechanism based on MapReduce in sematic web reasoning
Rule execution is the core step of rule-based semantic web reasoning. However, most existing approaches are centralized, which cannot scale out to reason big semantic web datasets. In this paper, we described a kind of semantic web rule execution mechanism using MapReduce programming model, which not only can handle RDFS and OWL ter Horst semantic rules, but also can be used in SWRL reasoning. Theoretical analysis is present on the scalability of this rule execution mechanism. Result shows that it can scale well as Mapreduce framework.
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