Scenery Spot Entity Resolution Model Based on Multistage Mixed Attributes

Abstract:

Scenery spot entity resolution is the basis on tourism information integration and tourism recommend. Entity resolution can’t be achieved through one stage between entities for most entity resolution, and can’t be obtained the satisfied result as expect. However, we can use the multistage mixed attributes entity resolution model to improve the correct result. We are adopt the multistage that concludes k-means clustering in the step 1, and the bucket algorithm to identify entities in the step 2. What’s more, we are optimize the bucket algorithm in our paper. Our experience result is effective.

• Periodical: Applied Mechanics and Materials (Volumes 631-632)
• Pages: 292-298
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.631-632.292
• Online since: September 2014
• Authors: Jia Jun Wu*, Gang Lei, Yi Bao
• Keywords: Entity Resolution, Multistage Mixed Attributes

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