Paper Info
Title
Extracting Domain Ontologies from Domain Specific APIs
Abstract
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.
Year
DOI
Venue
2008
10.1109/CSMR.2008.4493315
CSMR
Keywords
Field
DocType
libraries,domain specific apis,domain ontology,specific apis,considerable amount,index terms: reverse engineering,different apis,different perspective,knowl- edge acquisition,well-known domain,domain concept,domain knowledge,extracting domain ontologies,big abstraction gap,computer languages,program analysis,programming language,graphical user interfaces,ontologies,algorithm design and analysis,reverse engineering,indexing terms
Domain analysis,Data mining,Domain (software engineering),Domain engineering,Feature-oriented domain analysis,Domain knowledge,Computer science,IDEF5,Business domain,Knowledge acquisition
Conference
Citations 
PageRank 
References 
23
0.95
13
Authors
3
Name
Order
Citations
PageRank
Daniel Ratiu149338.87
Martin Feilkas21067.38
Jan Jurjens316916.07