Building Inverted Index and Search Engine using Apache Lucene

Gita Veer; Poonam Rathod; Poonam Sinare; R. B. Singh

doi:10.17148/IJARCCE.2015.4296

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Building Inverted Index and Search Engine using Apache Lucene

Gita Veer, Poonam Rathod, Poonam Sinare, Prof. R. B. Singh

Downloads: Download PDF|DOI: 10.17148/IJARCCE.2015.4296

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Abstract: We describe data structures and an update strategy for e practical implementation of inverted indexes. The context of our discussion is the construction of a dedicated index engine for a distributed full-text information retrieval system but the results have wider applications. Retrieval operations require a single disk access per query term. The online update strategy guarantees the consistency of on-disk data structures. Index compression integrates smoothly.

Keywords: �NNquery, Inverted Index, Lucene, Elastic Search.

How to Cite:

[1] Gita Veer, Poonam Rathod, Poonam Sinare, Prof. R. B. Singh, “Building Inverted Index and Search Engine using Apache Lucene,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.4296

This work is licensed under a Creative Commons Attribution 4.0 International License.