Record Details

Implementation of Weighted Tree Similarity and Cosine Sorensen-Dice Algorithms for Semantic Search in Document Repository Information System

Journal of Development Research

View Archive Info
 
 
Field Value
 
Title Implementation of Weighted Tree Similarity and Cosine Sorensen-Dice Algorithms for Semantic Search in Document Repository Information System
 
Creator Amrullah, Abdurrosyiid
Anugrah, Indra Gita
 
Subject Weighted Tree Similarity
Semantic Search
Cosine Similarity
Sorensen Dice Similarity
 
Description Document search has several approaches, including full-text search, plain metadata search and semantic search. This study uses the Weighted Tree Similarity algorithm with the Cosine Sorensen Dice algorithm to calculate the semantic search similarity. In this study, document metadata is represented in the form of a tree that has labeled nodes, labeled branches and weighted branches. The similarity calculation on the subtree edge label uses Cosine Sorensen Dice, while the total similarity of a document uses the weighted tree similarity. The metadata structure of the document uses the taxonomy owner, description, title, disposition content and type. The result of this research is a document search application with taxonomic weight on file storage.
 
Publisher Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar
 
Date 2021-05-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://journal.unublitar.ac.id/jdr/index.php/jdr/article/view/143
10.28926/jdr.v5i1.143
 
Source Journal of Development Research; Vol. 5 No. 1 (2021): Volume 5, Number 1, May 2021; 12-19
2579-9347
2579-9290
 
Language eng
 
Relation https://journal.unublitar.ac.id/jdr/index.php/jdr/article/view/143/78
 
Rights Copyright (c) 2021 Journal of Development Research
http://creativecommons.org/licenses/by-sa/4.0