Ontological Inference for User Intention Extraction、Query Expansion and Concept-based Retrieval
碩士 === 國立東華大學 === 資訊工程學系 === 92 === The using of keyword-based retrieval is always easy and convenient for end users; however, the result hardly reaches the goal of precisely revealing the concept in document. Adopting concept-based retrieval improves the limitations in using keyword-based. The re...
Main Authors: | Yi-Hsuan Hung, 洪奕璿 |
---|---|
Other Authors: | Shiow-Yang Wu |
Format: | Others |
Language: | zh-TW |
Published: |
2004
|
Online Access: | http://ndltd.ncl.edu.tw/handle/22279160590058629648 |
Similar Items
-
Ontology-based Dynamic Semantic Query Expansion for Image Retrieval
by: Sheng-Chia Lin, et al.
Published: (2016) -
Examining the application of modular and contextualised ontology in query expansions for information retrieval
by: George, David
Published: (2010) -
A fuzzy ontology framework in information retrieval using semantic query expansion
by: Shivani Jain, et al.
Published: (2021-04-01) -
Evaluation of Query Expansion Method and On-line Search Engine on Concept Query of Information Retrieval Performance
by: Chih-Chuan Hsu, et al.
Published: (2009) -
Learning Object Querying with Ontology Concept Expansion - Case Study Using JLOO
by: Yue-Shiun Tsai, et al.
Published: (2006)