一种基于fca的基于语义的构件检索本体构建方法

Xin Peng, Wenyun Zhao
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引用次数: 9

摘要

在基于语义的构件检索中,本体通常作为构件表示和匹配的语义基础。现有的方法总是假设本体已经存在。然而,本体构建本身就是一个很大的挑战,构件检索本体的构建与一般的领域本体有其不同的特点,包括强调功能语义、明确的实例集(即存储在存储库中的所有构件的语义描述)和明确的表征构件检索的目标。本文提出了一种基于形式概念分析(FCA)的增量式本体构建方法。增量本体构建的特征是指与组件提供者协作和交互的过程,以收集组件的基本输入/输出描述。采用层次价值概念上下文扩展的FCA从原始组件描述中引出概念,构建功能概念的本体层次结构。在概念分析之后,还可以自动填充每个组件的语义表示。因此,该方法在极大程度上减轻了本体构建的工作量,同时也保证了构件检索的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Incremental and FCA-Based Ontology Construction Method for Semantics-Based Component Retrieval
In semantics-based component retrieval ontology is usually employed as the semantic basis for component representation and matching. Existing methods always assume that the ontology already exists. However, ontology construction itself is a big challenge and the construction of ontology for component retrieval has its own characteristics differing from general domain ontology, including the emphasis on functional semantics, the explicit instance set (i.e. semantic descriptions of all the components stored in the repository) and the explicit objective of characterizing components for retrieval. In this paper, we propose an incremental and FCA (Formal Concept Analysis) based ontology construction method. The feature of incremental ontology construction means a collaborative and interactive process with component providers to collect basic input/output descriptions of components. FCA with the extension of hierarchical-valued concept context is adopted to elicit concepts from original component descriptions to construct ontological hierarchy for functional concepts. After concept analysis, semantic representation of each component can also be filled automatically. So our method can alleviate the efforts of ontology construction remarkably and the quality can also be ensured in terms of the requirements of component retrieval.
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