OGIR: An ontology-based grid information retrieval framework

NCUIR > School of Management at National Central University > Department of Information Management > journal & Dissertation > Item 987654321/106879

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106879

Title:	OGIR: An ontology-based grid information retrieval framework
Authors:	蔡志豐;Hung, Chihli;Tsai, Chih-Fong;Hung, Shin-Yuan;Ku, Chang-Jiang
Contributors:	管理學院資訊管理學系
Keywords:	Algorithms;Construction;Data mining;Data processing;Data sources;Digital libraries;Distributed processing;Documents;Educational Environment;Electronic Libraries;Exact sciences and technology;Experiments;Image retrieval;Inference;Information;Information and communication sciences;Information retrieval;Information science. Documentation;Internet;Judgment;Keywords;Library and information science. General aspects;Mathematical models;Ontologies;Ontology;Query expansion;Query processing;Ranking;Ratings & rankings;Relevance feedback;Remote sensing;Research methodology;Retrieval;Retrieval performance measures;Sciences and techniques of general use;Search engines;Searching;Semantics;Studies;User behaviour
Date:	2012-12-04
Issue Date:	2026-04-23 13:47:42 (UTC+8)
Publisher:	Emerald Group Publishing Ltd.;Bradford: Emerald Group Publishing Limited
Abstract:	摘要： Purpose - A grid information retrieval model has benefits for sharing resources and processing mass information, but cannot handle conceptual heterogeneity without integration of semantic information. The purpose of this research is to propose a concept-based retrieval mechanism to catch the user's query intentions in a grid environment. This research re-ranks documents over distributed data sources and evaluates performance based on the user judgment and processing time.Design methodology approach - This research uses the ontology lookup service to build the concept set in the ontology and captures the user's query intentions as a means of query expansion for searching. The Globus toolkit is used to implement the grid service. The modification of the collection retrieval inference (CORI) algorithm is used for re-ranking documents over distributed data sources.Findings - The experiments demonstrate that this proposed approach successfully describes the user's query intentions evaluated by user judgment. For processing time, building a grid information retrieval model is a suitable strategy for the ontology-based retrieval model.Originality value - Most current semantic grid models focus on construction of the semantic grid, and do not consider re-ranking search results from distributed data sources. The significance of evaluation from the user's viewpoint is also ignored. This research proposes a method that captures the user's query intentions and re-ranks documents in a grid based on the CORI algorithm. This proposed ontology-based retrieval mechanism calculates the global relevance score of all documents in a grid and displays those documents with higher relevance to users. 出版者： Bradford: Emerald Group Publishing Limited 出版日期： 2012-01-01 出處： Online information review, 2012-01, Vol.36 (6), p.807-827 資源來源： ABI/INFORM Collection 版權： Emerald Group Publishing Limited 版權： 2015 INIST-CNRS 版權： Copyright Emerald Group Publishing Limited 2012 識別號： ISSN: 1468-4527 識別號： EISSN: 1468-4535 識別號： DOI: 10.1108/14684521211287909
Appears in Collections:	[Department of Information Management] journal & Dissertation

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