This paper proposes two indexing approaches in HDFS, namely LIndex and HIndex. These indexing approaches are found to carefully perform selection operation ...

ate a full-text indexing structure on the Hadoop. MapReduce framework for the fast retrieval of data. Lucene[1] index was considered to create a full-text.

Two indexing approaches in HDFS, namely LIndex and HIndex are proposed, found to carefully perform selection operation better compared to existing Lucene ...

Google Scholar. Efficient Information Retrieval using Lucene, LIndex and HIndex in Hadoop. Citation: Anita, BM, Priyabrat P, MadhuKumar SD. 2014. Efficient ...

Efficient Information Retrieval using Lucene, LIndex and HIndex in Hadoop. November 2014. 11th ACS/IEEE International Conference on Computer Systems and ...

In this paper we propose three different implementations for inverted indexes (Indexer, IndexerCombiner, and IndexerMap) in Hadoop environment using MapReduce ...

A fast retrieval technique is suggested in the MapReduce framework with the new LIndex and HIndex approaches. LIndex provides a complete-text index and it ...

Efficient information retrieval using Lucene, LIndex and HIndex in Hadoop ... data with an effective structure which supports querying tasks in an efficient way.

In this paper new technique is introduced named as ADAM which allows a. Boolean retrieval of data for structural and unstructured data. Using this technique ...

An original approach for processing public open data with MapReduce: A case study pp. ... Efficient information retrieval using Lucene, LIndex and HIndex in ...