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OGIR: an ontology-based grid information retrieval framework

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Publicado en:Online Information Review vol. 36, no. 6 (2012), p. 807
Autor principal: Hung, Chihli
Otros Autores: Chih-Fong Tsai, Shin-Yuan, Hung, Chang-Jiang, Ku
Publicado:
Emerald Group Publishing Limited
Materias:
Information retrieval
Studies
Search engines
Internet
Ontology
Research
Digital libraries
Remote sensing
Query expansion
Image retrieval
Relevance feedback
Keywords
Retrieval performance measures
Semantics
Distributed processing
Documents
Data processing
Judgment
Ratings & rankings
Experiments
Data mining
Algorithms
Models
Retrieval
Research methodology
Information
Data sources
Inference
Electronic Libraries
Educational Environment
Acceso en línea:Citation/Abstract
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Resumen: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.
ISSN:1468-4527
1468-4535
0309-314X
1353-2642
DOI:10.1108/14684521211287909
Fuente:ABI/INFORM Global