Topic-centric and semantic-aware retrieval system for internet of things

Topic-centric and semantic-aware retrieval system for internet of things
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以主题为中心、语义感知的物联网检索系统

DOI:
10.1016/j.inffus.2014.01.001
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发表时间:
2015-05
期刊:
影响因子:
18.6
通讯作者:
Hai Jin
Hai Jin
中科院分区:
计算机科学1区
文献类型:
--
作者:
FengZhao;Zheng Sun;Hai Jin

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物联网(IoT)被认为是一个有前途的范例,可以让人和物体无缝交互。到目前为止,已经提出了许多应用和服务,例如检索服务。然而,物联网中的检索面临着巨大的挑战,因为数据属于不同的领域,用户与周围环境的交互受到限制。提出了一种物联网环境下基于主题发现和语义感知的检索系统Acrost。通过两个以主题为中心的收集器的组合,获得具有感兴趣信息的初始内容。元数据是通过聚合基于正则表达式和基于条件随机字段的方法提取的。此外,语义感知检索是通过解析查询和排序的内容的相关性。此外,我们提出了一个学术会议检索的案例研究,以验证所提出的方法。实验结果表明,该系统能显著提高主题自适应检索方式的响应时间和效率。
The Internet of things (IoT) has been considered as one of the promising paradigms that can allow people and objects to seamlessly interact. So far, numerous applications and services have been proposed, such as retrieval service. The retrieval, however, faces a big challenge in IoT because the data belongs to different domains and user interaction with the surrounding environment is constrained. This paper proposesAcrost, a retrieval system based on topic discovery and semantic awareness in IoT environment. The initial contents with interesting information is obtained through the combination of two topic centric collectors. The metadata is extracted by aggregating regular expression-based and conditional random fields-based approaches. Moreover, the semantic-aware retrieval is achieved by parsing the query and ranking the relevance of contents. In addition, we present a case study on academic conference retrieval to validate the proposed approaches. Experimental results show that the proposed system can significantly improve the response time and efficiency of topic self-adaptive retrieval manner.
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