基于HBase的本体存储模型

doi:10.11896/j.issn.1002-137X.2016.06.008

计算机科学 ›› 2016, Vol. 43 ›› Issue (6): 39-43.doi: 10.11896/j.issn.1002-137X.2016.06.008

基于HBase的本体存储模型

宋华珠,段文军,刘翔

武汉理工大学计算机科学与技术学院武汉430070,武汉理工大学计算机科学与技术学院武汉430070,武汉理工大学计算机科学与技术学院武汉430070

出版日期:2018-12-01 发布日期:2018-12-01
基金资助:
本文受国家科技支撑计划项目(2012BAH33F03),中央高校基本科研业务费专项资金(2014-IV-148)资助

Ontology Storage Model Based on HBase

SONG Hua-zhu, DUAN Wen-jun and LIU Xiang

Online:2018-12-01 Published:2018-12-01

摘要/Abstract

摘要： 本体是对某一特定领域的重要概念的形式化描述。合理地存储本体数据是发挥其共享性的重要前提,尤其是在当前分布式系统下其作用更为突出。通过分析目前的各种存储方式,并结合当前语义网、Hadoop的特点,提出了基于HBase的本体存储模型HBase-OntSM,该模型将本体的三元组数据集作为一个图,把图作为一条记录存储到数据库中；并给出了与该图相关的一系列基本定义和索引定义。最后以西藏文化本体中的一个片段为例,解释了该本体存储模型及其存储过程。

关键词: 本体存储模型,HBase,Hadoop

Abstract: Ontology is a formal description of important concepts within a specific domain.Reasonable storage of ontological data is an important prerequisite to perform its sharing features,and its function is more outstanding especially under the current distributed systems.By analyzing different means of storing ontology data at present and combining the features of semantic Web and Hadoop,this paper came up with an ontology storage model based on HBase,called HBase-OntSM,which regards ontology’s triple dataset as a graph storing it in a database as a record,and then presented a series of basic definitions and index definitions related to the graph.Finally,this paper took a segment of Tibetan culture ontology for an example,and explained the ontology storage model and its stored procedures.

Key words: Ontology storage model,HBase,Hadoop

宋华珠,段文军,刘翔. 基于HBase的本体存储模型[J]. 计算机科学, 2016, 43(6): 39-43. https://doi.org/10.11896/j.issn.1002-137X.2016.06.008

SONG Hua-zhu, DUAN Wen-jun and LIU Xiang. Ontology Storage Model Based on HBase[J]. Computer Science, 2016, 43(6): 39-43. https://doi.org/10.11896/j.issn.1002-137X.2016.06.008

参考文献

[1] Lv Yan-hui.Storage of Fuzzy Ontologies Based on RelationalDatabases[J].Computer Science,2011,38(6):217-222,245(in Chinese) 吕艳辉.基于关系数据库的模糊本体的存储方法[J].计算机科学,2011,8(6):217-222,245
[2] Abraham J,Brazier P,Chebotko A,et al.Distributed storage and querying techniques for a Semantic Web of scientific workflow provenance[C]∥2010 IEEE International Conference on Ser-vices Computing (SCC).IEEE,2010:178-185
[3] Chebotko A,Abraham J,Brazier P.Storing,Indexing and Querying Large Provenance Data Sets as RDF Graphs in Apache Hbase[C]∥2013 IEEE Ninth World Congress on Services.2013:1-8
[4] Sun J,Jin Q.Scalable rdf store based on hbase and mapreduce[C]∥2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE).IEEE,2010:V1-633-V1-636
[5] Papailiou N,Konstantinou I,Tsoumakos D,et al.H2RDF:adaptive query processing on RDF data in the cloud[C]∥Procee-dings of the 21st International Conference Companion on World Wide Web.ACM,2012:397-400
[6] Qiang Yan,Lu Jun-zuo,Liu Tao,et al.HBase Based ParallelBFS Method[J].Computer Science,2013,0(3):228-231(in Chinese) 强彦,卢军佐,刘涛,等.基于HBase的并行BFS方法[J].计算机科学,2013,0(3):228-231
[7] protege[EB/OL].http://protege.stanford.edu
[8] Khadilkar V,Kantarcioglu M,Thuraisingham B.Jena-HBase:A Distributed,Scalable and Efficient RDF Triple Store[C]∥CEUR Workshop Proceedings.2012,914:85-88
[9] Guo Y,Pan Z,Heflin J.LUBM:A benchmark for OWL know-ledge base systems[J].Web Semantics:Science,Services and Agents on the World Wide Web,2005,3(2):158-182

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

基于HBase的本体存储模型

Ontology Storage Model Based on HBase

PDF (PC)

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

Metrics

本文评价

推荐阅读 0