CAJ | 학술논문

针对作者"名字去歧"问题,提出了一个新的对象识别框架,不仅利用本地库中的信息,而且利用通用的搜索引擎进行判断,这样的两个过程迭代进行,直到满足结束条件.此外,提出的利用站点碰撞进行对象识别,由于不需要下载Google返回的查询结果对应的众多网页,可以明显地降低网络传输量,降低识别的等待时间.大量实验数据表明上述方法可以获得很好的实验效果.
침대작자"명자거기"문제,제출료일개신적대상식별광가,불부이용본지고중적신식,이차이용통용적수색인경진행판단,저양적량개과정질대진행,직도만족결속조건.차외,제출적이용참점팽당진행대상식별,유우불수요하재Google반회적사순결과대응적음다망혈,가이명현지강저망락전수량,강저식별적등대시간.대량실험수거표명상술방법가이획득흔호적실험효과.
To solve the problem of name disambiguation,this paper proposes a new frame based on not only local information but also search engine.The two processions of calculating local connection stress and Web connection stress are performed interactively.Furthermore according to the site level co-occurrence of two objects,the objects' Web connection relationship can be achieved.The algorithm is effective because it needn't download the total Web page but search engine's search results.Experiments show the good performance of the proposed approaches.