Efficient distributed semantic based data and service unified discovery with one-dimensional semantic space
Efficient distributed semantic based data and service unified discovery with one-dimensional semantic space
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DOI：
10.1016/j.jnca.2014.11.008
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发表时间：
2015-03
期刊：
影响因子：
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通讯作者：
Ying Zhang;Houkuan Huang;Hui He;Jing Teng;Zhuxiao Wang
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文献类型：
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作者：
Ying Zhang;Houkuan Huang;Hui He;Jing Teng;Zhuxiao Wang
数据发现和服务发现是Internet中的两个重要应用，几乎所有的网络功能都需要它们的支持。大量的研究工作集中在服务发现或数据发现，虽然他们不能分开。现有的网络，由于其分散的性质和弱支持语义，仍然是混乱的，缺乏能力，让用户发现，提取和集成的信息感兴趣的异构资源。提出了一种可扩展的、高性能的分布式数据和服务统一发现系统。为了排除歧义，统一发现系统采用语义空间中的一维向量对数据和服务进行统一识别和定位，然后用OWL Web Ontology Language for Services（OWL-S）表示具体的服务。此外，我们采用并置（JXTA）架构作为一个适当的基础来组织网络对等体。实验结果表明，与其他发现系统相比，基于语义的统一发现系统能够提高搜索结果的准确性和效率，更好地满足用户需求。
Data and service discoveries are two significant applications in the Internet, and almost all the network functions need their support. A lot of research work has focused on either service discovery or data discovery respectively, although they cannot be separated. The existing network, due to its decentralized nature and weak support for semantic, is still chaotic and lacks the ability to allow users to discover, extract and integrate the information of interest from heterogeneous resources. This paper proposes a scalable, high performance distributed system for data and service unified discovery. In order to exclude ambiguity, our unified discovery system adopts one-dimensional vector in semantic space to generally identify and locate data and services, and then represent specific services by OWL Web Ontology Language for Services (OWL-S). Moreover, we employ Juxtapose (JXTA) architecture as a proper foundation to organize network peers. Experimental results illustrate that, compared with other discovery systems, the semantic-based unified discovery system can improve accuracy and efficiency of the search results, and satisfy users much better.