从特定于领域的api中提取领域本体

D. Ratiu, Martin Feilkas, J. Jürjens
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引用次数: 46

摘要

特定于领域的api为其客户端提供了领域概念的即用型实现。除了作为人类和计算机世界之间的接口之外,特定于领域的api还包含大量的领域知识。由于现实世界和当今的编程语言之间存在巨大的抽象差距,除了对其领域的了解之外,这些api还以实现细节的形式充斥着大量的噪音。此外,API提供了其域的特定视图,不同的API从不同的角度看待它们的域。在本文中,我们提出了一种通过识别针对同一领域的特定于领域的api之间的共性来构建领域本体的方法。除了我们的本体提取算法之外,我们还提出了一种消除噪声的方法,并概述了用于程序分析和理解的本体的可能使用场景。我们通过一组从已知领域特定api中提取领域本体的案例研究来评估我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extracting Domain Ontologies from Domain Specific APIs
Domain specific APIs offer their clients ready-to-use implementations of domain concepts. Beside being interfaces between the worlds of humans and computers, domain specific APIs contain a considerable amount of domain knowledge. Due to the big abstraction gap between the real world and today's programming languages, in addition to the knowledge about their domain, these APIs are cluttered with a considerable amount of noise in form of implementation detail. Furthermore, an API offers a particular view on its domain and different APIs regard their domains from different perspectives. In this paper we propose an approach for building domain ontologies by identifying commonalities between domain specific APIs that target the same domain. Besides our ontology extraction algorithm, we present a methodology for eliminating the noise and we sketch possible usage-scenarios of the ontologies for program analysis and understanding. We evaluate our approach through a set of case-studies on extracting domain ontologies from well-known domain specific APIs.
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