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Web Information Retrieval using Ontology for Dress

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dc.contributor.author Aung, Nu Wai
dc.contributor.author Phyu, Sabai
dc.date.accessioned 2019-07-19T03:37:21Z
dc.date.available 2019-07-19T03:37:21Z
dc.date.issued 2017-12-27
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1019
dc.description.abstract Information retrieval (IR) is the area of study concerned with searching documents or information within documents. It is finding or discovery process to obtain relevant web pages from a collection of information resources. The user describes information needs with a query which consists of a number of words. Ontologybased approach to information retrieval (IR) is a knowledge repository in which concepts and terms are defined as well as relationships between these concepts. The system aims to develop information retrieval using ontology of dress structure for incorporating semantic into an intelligent dress search system. The user can search appropriate dress such as type of dress, gender, dress color, size, brand, fabric and style, etc. The system implements information retrieval system using BM String search algorithm to extract web pages from the ontology, ranking method (TF_IDF) to calculate weights of the terms, and cosine similarity method to get relevance pages. en_US
dc.language.iso en en_US
dc.publisher Eighth Local Conference on Parallel and Soft Computing en_US
dc.title Web Information Retrieval using Ontology for Dress en_US
dc.type Article en_US

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