计算机科学 ›› 2010, Vol. 37 ›› Issue (4): 245-.

• 人工智能 • 上一篇    下一篇

构件功能检索的研究

闰伟,刘志镜   

  1. (西安电子科技大学计算机学院 西安710071)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家科技支撑计划项目(2007BAH081302 ) ,陕酉省‘13115’科技创新工程重大专项(2007ZDK-57)资助。

Research of Heuristic Component Functional Retrieval Based on Description Logics and Sampling Sequence Pattern Mining

YAN Wei,LIU Zhi-jing   

  • Online:2018-12-01 Published:2018-12-01

摘要: 近年来,构件化开发已成为软件开发的主要发展方向。随着构件库规模不断扩大,高效的构件检索是提高软件系统开发速度的关键。通过对构件的语义信息建模来实现功能检索,一方面可弥补普通检索的语义缺失问题,另一方面将大大提高构件的检索效率。采用本体描述构件,创建了对应的构件本体库。同时,基于大量用户检索构件的历史数据,利用抽样序列模式挖掘产生构件本体库中的高频率模式,并用其构造检索关系图,最终得到可能的检索序列,指导用户进行高效、准确的构件功能检索。

关键词: 本体,功能检索,描述逻辑,序列模式,PrefixSpan算法,概念

Abstract: Recently, the Component Based Software Development has become the main direction of software development, and with the expansion of the component library, efficient retrieval is crucial for us to improve the software development. The realization of component functional retrieval was attained through semantic modeling of components,which not only made up for the lack of semantic expression, but also enhanced the retrieval efficiency. Ontology was used to describe component to create ontology library while the method of sampling sectuence pattern mining was utilined to find out frequency sequence patterns based on the historical data of retrieval, which were used to construct retrieval relationship map later. Finally, the most possible retrieval sequences were obtained to instruct users to complete component functional retrieval with high efficiency and accuracy.

Key words: Ontology, Functional retrieval, Description logics, Sequence pattern, PrefixSpan algorithm, Concept

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