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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (4): 10-19    DOI: 10.11925/infotech.2096-3467.2017.1095
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Evaluating Web Information for Ancient Villages Based on Rank Aggregation
Chonghui Guo(),Minqian Li
Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, China
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[Objective] This paper tries to evaluate Web information for ancient villages based on the rank aggregation method. [Methods] First, we proposed the framework and method to evaluate Web information resources for the ancient villages. Then, we selected six dimensions of observation, and constructed the evaluation index system. Third, we aggregated several evaluation methods using the BILPS technique, as well as combining subjective and objective weights. Finally, we evaluated the ancient village’s online presence with the proposed algorithm. [Results] We examined 64 ancient villages in China’s Guangdong Province and found that most of the Top 10 ancient villages were in the provincial city of Guangzhou. [Limitations] We only investigated the web information resources for ancient villages in Guangdong Province, more research is needed to study ancient villages in other regions. [Conclusions] This study could help decision-makers, managers and local residents better understand the ancient villages’ online impacts, and then promote their development.

Key wordsAncient Villages      Web Information Resources      Rank Aggregation     
Received: 05 November 2017      Published: 11 May 2018

Cite this article:

Chonghui Guo,Minqian Li. Evaluating Web Information for Ancient Villages Based on Rank Aggregation. Data Analysis and Knowledge Discovery, 2018, 2(4): 10-19.

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