Semantic Search for Information System Domain Bibliographic Data
รหัสดีโอไอ
Creator พยุง มีสัจ
Title Semantic Search for Information System Domain Bibliographic Data
Contributor วาทินี นุ้ยเพียร, ผุสดี บุญรอด
Publisher Faculty of Information Science and Technology, Mahanakorn University of Technology
Publication Year 2556
Journal Title Journal of Information Science and Technology
Journal Vol. 4
Journal No. 1
Page no. 11-20
Keyword Semantic Information Retrieval, Ontology, Text Mining, Feature Selection,, Association Rule, Bibliographic Data
URL Website https://tci-thaijo.org/index.php/JIST
Website title Journal of Information Science and Technology
ISSN 2651-1053
Abstract Searching through digital information by using keywords usually returns incorrect results and does not reflect user requirements. The researchers have developed semantic search or ontology that increases efficiency of information retrieval. However, one of the problems of semantic search is that development depends on the expert knowledge. To solve the problem above, this research proposes sub class creation via semi-automatic techniques and finding relation of class by association rules. The proposed method is composed of 4 steps: 1) feature selection using Chi-Square and Support Vector Machine Radial basis function (SVMR) in order to reduce phrases and send statistics value into a subclass to aid the semi-automatic ontology, 2) semantic terms mapping using association rule methods, 3) development of Semantic Search for Information System Domain Bibliographic Data, and 4) evaluation of the developed information retrieval system. The result of the proposed method produced precision at 97.07%.
คณะวิทยาการและเทคโนโลยีสารสนเทศ มหาวิทยาลัยเทคโนโลยีมหานคร

บรรณานุกรม

EndNote

APA

Chicago

MLA

ดิจิตอลไฟล์

Digital File
DOI Smart-Search
สวัสดีค่ะ ยินดีให้บริการสอบถาม และสืบค้นข้อมูลตัวระบุวัตถุดิจิทัล (ดีโอไอ) สำนักการวิจัยแห่งชาติ (วช.) ค่ะ