ScholarLens Back to search
2011•Journal of Liaoning Technical UniversityRequires access

Individualized text information retrieval based on domain ontology

Xuedong Gao

Open publisher page 2 citations

Abstract

Domain ontology based individualized information retrieval model is presented in order to solve the problem of poor personalized service and low-accurate search results in traditional information retrieval technology.The article describes the structure and the key algorithms of the model through an experimental case to verify the feasibility of the model.The experimental results show that the new model can improve the precision and efficiency of information retrieval.

About this research paper

What this paper is about

Domain ontology based individualized information retrieval model is presented in order to solve the problem of poor personalized service and low-accurate search results in traditional information retrieval technology.The article describes the structure and the key algorithms of the model through an experimental case to verify the feasibility of the model.The experimental results show that the new model can improve the precision and efficiency of information retrieval.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Domain ontology based individualized information retrieval model is presented in order to solve the problem of poor personalized service and low-accurate search results in traditional information retrieval technology.The article describes the structure and the key algorithms of the model through an experimental case to verify the feasibility of the model.The experimental results show that the new model can improve the precision and efficiency of information retrieval.

Key concepts: Computer science, Information retrieval, Ontology, Key (lock), Vector space model, Domain (mathematical analysis), Divergence-from-randomness model, Service (business)

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Individualized text information retrieval based on domain ontology — Research Paper | ScholarLens