Method Exploration of Self-adaptive Entity Matching in Map Fusion

Entity matching is a crucial and hard technology in map fusion. Current methods still exists some deficiencies, such as matching efficiency is not high, low degree of automation and poor universality, these methods can not meet the matching needs of large data integration, therefore, the urgent need to develop more effective and intelligent methods. This paper analyzed present research situation and existing problems of entity matching, illustrated the necessity of developing self-adaptive entity matching, pointed out urgent research contents and key issues that need to be resolved urgently in self-adaptive entity matching, provided preliminary research scheme of implementing self-adaptive entity matching, finally, introduced characteristics and advantages of self-adaptive entity matching method presented in this paper.