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Interdisciplinary Topic Detection Method and Empirical Research Based on Topic Correlation Analysis: A Case Study of Animal Resource and Breeding
Received date: 2016-05-19
Revised date: 2016-11-25
Online published: 2017-01-05
[Purpose/significance] This paper aims at the problems of the single and double disciplines topic detection which cannot show the source of topics, proposes a multi-disciplinary topic detection method, and provides the basis for the development and cooperation of the interdisciplinary.[Method/process] Firstly, this paper extracts the shared topics and the domain-specific topics from two heterogeneous disciplines and their interdisciplinary using the topic correlation analysis method. Secondly, it quantifies the correlation of domain-specific topics using the correlation measures. Finally, the paper analyzes shared topics and similar domain-specific topics.[Result/conclusion] The experimental results on the agriculture and reproductive biology, the veterinary and the interdisciplinary in the field of the animal resource and breeding show the proposed method effectively detects the source of topics.
Wu Lei , Tian Ruya , Zhang Xuefu . Interdisciplinary Topic Detection Method and Empirical Research Based on Topic Correlation Analysis: A Case Study of Animal Resource and Breeding[J]. Library and Information Service, 2017 , 61(1) : 72 -79 . DOI: 10.13266/j.issn.0252-3116.2017.01.009
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