CAJ | 학술논문

构件的合理分类是实现构件高效检索的基础和关键。针对目前应用广泛的刻面分类方法存在主观性因素的弊端，采用刻面分类和全文检索相结合的方法来描述构件。在此构件描述的基础上，利用聚类分析技术和语义分析技术提出一种基于语义的构件聚类索引树。并通过实验验证，该聚类索引树是可行的，有效地克服刻面分类方法的缺点，在一定程度上实现对构件的语义检索，而且具有较高的构件查全率和查准率。此外，用户在描述检索条件时，不再局限于限定的术语，更方便于普通用户。
구건적합리분류시실현구건고효검색적기출화관건。침대목전응용엄범적각면분류방법존재주관성인소적폐단，채용각면분류화전문검색상결합적방법래묘술구건。재차구건묘술적기출상，이용취류분석기술화어의분석기술제출일충기우어의적구건취류색인수。병통과실험험증，해취류색인수시가행적，유효지극복각면분류방법적결점，재일정정도상실현대구건적어의검색，이차구유교고적구건사전솔화사준솔。차외，용호재묘술검색조건시，불재국한우한정적술어，경방편우보통용호。
The reasonable classification of components is the basis and key of component efficient retrieval. In order to overcome the disadvantages of faceted classification method widely used, adopts a method combining faceted classification with full-text retrieval to describe compo-nents. Based on that description, proposes a component cluster index tree in which uses cluster analysis technique and semantic analysis technique. And the experiments prove that the index tree is feasible, which can effectively overcome the disadvantages of faceted classifi-cation method. Meanwhile to some extent, it can achieve the component semantic retrieval and has higher component recall ratio and pre-cision ratio. Moreover, the description of retrieval conditions is no longer limited by restrictive terms so as to be convenient for general users.