CAJ | 학술논문

随着中文网站数量的日益庞大，中文的Deep Web信息集成已成为网络信息领域的焦点。属性相似度计算是Deep Web信息集成中模式匹配的关键一步。该文根据中文查询接口中的属性词汇常常表现为1-3个词语构成的短语的特点，提出一种更有效的基于《知网》的属性相似度计算的方法，使属性匹配的准确率得到大幅度提高。
수착중문망참수량적일익방대，중문적Deep Web신식집성이성위망락신식영역적초점。속성상사도계산시Deep Web신식집성중모식필배적관건일보。해문근거중문사순접구중적속성사회상상표현위1-3개사어구성적단어적특점，제출일충경유효적기우《지망》적속성상사도계산적방법，사속성필배적준학솔득도대폭도제고。
With the increasing amount of the Chinese website, Deep Web information integration in Chinese has become the focus of the net information field. The Attribute similarity computation is a key step of schema matching in Deep Web information integration. In this passage ,According to the characteristics of Chinese query interface attribute vocabulary which often shows of 1-3 words to form phrases, provides a more effective attribute similarity calculating method based on the “HowNet”, in this way, the attribute matching accuracy has been greatly improved.