NDLI: Toward full-text searching middleware over hierarchical documents

Content Provider	IEEE Xplore Digital Library
Author	Kun Ma Bo Yang Abraham, A.
Copyright Year	2013
Description	Author affiliation: Shandong Provincial Key Lab. of Network Based Intell. Comput., Univ. of Jinan, Jinan, China (Kun Ma; Bo Yang) \|\| Machine Intell. Res. Labs., Sci. Network for Innovation & Res. Excellence, Auburn, WA, USA (Abraham, A.)
Abstract	Currently, full-text searching can benefit from the emerging NoSQL databases and traditional indexing tools in the big data era. However, there are some drawbacks of current solutions. On one hand, the indexing documents lack of the hierarchy. On the other hand, big data have become the bottleneck of full-text searching. In the context of big data, we design a full-text searching middleware over hierarchical documents. We discuss the architecture of this middleware in detail. In addition, we propose a structure-independent hierarchical document model to present the hierarchical document. Moreover, the transformation engine is designed to translate the rich files into models. The core log event listener is responsible for capturing the changed documents and push them to the indexing storage at the same time. The experimental results show that our middleware is more advantageous than RDBMS with indexes and RDBMS with Lucene solutions.
Starting Page	194
Ending Page	198
File Size	612934
Page Count	5
File Format	PDF
e-ISBN	9781479935161
DOI	10.1109/ISDA.2013.6920734
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-08
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	NoSQL Real-time systems hierarchical documents Indexes Middleware Engines Open source software Full-text searching middleware
Content Type	Text
Resource Type	Article

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