Towards the development of an integrated framework for enhancing enterprise search using latent semantic indexing

Authors:
Obada Alhabashneh;Rahat Iqbal;Nazaraf Shah;Saad Amin;Anne James
Affiliations:
Faculty of Engineering and Computing, Coventry University, UK;Faculty of Engineering and Computing, Coventry University, UK;Faculty of Engineering and Computing, Coventry University, UK;Faculty of Engineering and Computing, Coventry University, UK;Faculty of Engineering and Computing, Coventry University, UK
Venue:
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
Year:
2011

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Abstract

While we have seen significant success in web search, enterprise search has not yet been widely investigated and as a result the benefits that can otherwise be brought to the enterprise are not fully realized. In this paper, we present an integrated framework for enhancing enterprise search. This framework is based on open source technologies which include Apache Hadoop, Tika, Solr and Lucene. Importantly, the framework also benefits from a Latent Semantic Indexing (LSI) algorithm to improve the quality of search results. LSI is a mathematical model used to discover the semantic relationship patterns in a documents collection. We envisage that the proposed framework will benefit various enterprises, improving their productivity by meeting information needs effectively.