Document And Query Expansion Method With Dirichlet Smoothing Model For Retrieval Of Metadata Content In Digital Resource Objects

Document And Query Expansion Method With Dirichlet Smoothing Model For Retrieval Of Metadata Content In Digital Resource Objects

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In this thesis, an IR framework is proposed which consists of three main stages: enhanced document expansion (EDE) method, adaptive structured Dirichlet smoothing (ASDS) model, and semantic query expansion (SQE) method. The first stage involves proposing an EDE method in which a new procedure is in...

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Main Author: Alma’aitah, Wafa’ Za’al Mohammad
Format: Thesis
Language:English
Published: 2020
Subjects:
QA75.5-76.95 Electronic computers. Computer science
Online Access:http://eprints.usm.my/56033/1/Pages%20from%20WAFA%E2%80%99%20ZA%E2%80%99AL%20MOHAMMAD%20ALMA%E2%80%99AITAH%20cut.pdf
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author Alma’aitah, Wafa’ Za’al Mohammad
author_facet Alma’aitah, Wafa’ Za’al Mohammad
author_sort Alma’aitah, Wafa’ Za’al Mohammad
collection USM
description In this thesis, an IR framework is proposed which consists of three main stages: enhanced document expansion (EDE) method, adaptive structured Dirichlet smoothing (ASDS) model, and semantic query expansion (SQE) method. The first stage involves proposing an EDE method in which a new procedure is introduced to increase each metadata unit content according to some specific steps by adding new information which is more relevant and closer to each metadata unit in each document while the second stage involves proposing an ASDS model that has two scenarios to improve the Dirichlet smoothing model. The first scenario is to enhance the model by taking into account of the document structure as in the proposed structured Dirichlet smoothing (SDS) model while the second scenario is to modify the parameters used in the model as in the proposed Adaptive Dirichlet smoothing (ADS) model. The third stage of the proposed framework involves the proposed SQE method to enhance the retrieval performance of DROs by improving the quality of candidate terms that are added semantically to the entire query term.
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spelling usm.eprints-560332022-12-19T02:52:06Z http://eprints.usm.my/56033/ Document And Query Expansion Method With Dirichlet Smoothing Model For Retrieval Of Metadata Content In Digital Resource Objects Alma’aitah, Wafa’ Za’al Mohammad QA75.5-76.95 Electronic computers. Computer science In this thesis, an IR framework is proposed which consists of three main stages: enhanced document expansion (EDE) method, adaptive structured Dirichlet smoothing (ASDS) model, and semantic query expansion (SQE) method. The first stage involves proposing an EDE method in which a new procedure is introduced to increase each metadata unit content according to some specific steps by adding new information which is more relevant and closer to each metadata unit in each document while the second stage involves proposing an ASDS model that has two scenarios to improve the Dirichlet smoothing model. The first scenario is to enhance the model by taking into account of the document structure as in the proposed structured Dirichlet smoothing (SDS) model while the second scenario is to modify the parameters used in the model as in the proposed Adaptive Dirichlet smoothing (ADS) model. The third stage of the proposed framework involves the proposed SQE method to enhance the retrieval performance of DROs by improving the quality of candidate terms that are added semantically to the entire query term. 2020-03 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/56033/1/Pages%20from%20WAFA%E2%80%99%20ZA%E2%80%99AL%20MOHAMMAD%20ALMA%E2%80%99AITAH%20cut.pdf Alma’aitah, Wafa’ Za’al Mohammad (2020) Document And Query Expansion Method With Dirichlet Smoothing Model For Retrieval Of Metadata Content In Digital Resource Objects. PhD thesis, Universiti Sains Malaysia.
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Alma’aitah, Wafa’ Za’al Mohammad
Document And Query Expansion Method With Dirichlet Smoothing Model For Retrieval Of Metadata Content In Digital Resource Objects
title Document And Query Expansion Method With Dirichlet Smoothing Model For Retrieval Of Metadata Content In Digital Resource Objects
title_full Document And Query Expansion Method With Dirichlet Smoothing Model For Retrieval Of Metadata Content In Digital Resource Objects
title_fullStr Document And Query Expansion Method With Dirichlet Smoothing Model For Retrieval Of Metadata Content In Digital Resource Objects
title_full_unstemmed Document And Query Expansion Method With Dirichlet Smoothing Model For Retrieval Of Metadata Content In Digital Resource Objects
title_short Document And Query Expansion Method With Dirichlet Smoothing Model For Retrieval Of Metadata Content In Digital Resource Objects
title_sort document and query expansion method with dirichlet smoothing model for retrieval of metadata content in digital resource objects
topic QA75.5-76.95 Electronic computers. Computer science
url http://eprints.usm.my/56033/1/Pages%20from%20WAFA%E2%80%99%20ZA%E2%80%99AL%20MOHAMMAD%20ALMA%E2%80%99AITAH%20cut.pdf
work_keys_str_mv AT almaaitahwafazaalmohammad documentandqueryexpansionmethodwithdirichletsmoothingmodelforretrievalofmetadatacontentindigitalresourceobjects

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