TY - GEN
T1 - Towards the development of an integrated framework for enhancing enterprise search using latent semantic indexing
AU - Alhabashneh, Obada
AU - Iqbal, Rahat
AU - Shah, Nazaraf
AU - Amin, Saad
AU - James, Anne
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Document Ranking
KW - Enterprise Search (ES)
KW - Latent Semantic Indexing (LSI)
KW - Search Context
UR - http://www.scopus.com/inward/record.url?scp=79961206520&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-22688-5_29
DO - 10.1007/978-3-642-22688-5_29
M3 - Conference proceeding
AN - SCOPUS:79961206520
SN - 9783642226878
VL - 6828 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 346
EP - 352
BT - Conceptual Structures for Discovering Knowledge - 19th International Conference on Conceptual Structures, ICCS 2011, Proceedings
T2 - 19th International Conference on Conceptual Structures, ICCS 2011
Y2 - 25 July 2011 through 29 July 2011
ER -