Paper Info
Title
Component search and reuse: An ontology-based approach
Abstract
In order to realize the full potential of software reuse, effective search techniques are indeed essential. In this paper, we propose a semantic-based approach for retrieving relevant components from a reuse repository. This approach utilizes an ontology model that includes a source-code ontology, a component ontology, and a domain-specific ontology. Due to the indexing and knowledge population mechanisms we used, our approach supports various kinds of search techniques. However, our experiments show evidence that only pure semantic search that exploits domain knowledge tends to improve precision.
Year
DOI
Venue
2010
10.1109/IRI.2010.5558931
IRI
Keywords
Field
DocType
indexing mechanisms,knowledge population mechanisms,software reuse,component reuse,search techniques,semantic inference,component ontology,ontologies (artificial intelligence),component search,component retrieval,software reusability,domain knowledge,domain-specific ontology,source-code ontology,owl,semantic search,ontologies,semantics,resource description framework,source code
Ontology (information science),Ontology alignment,Ontology-based data integration,Data mining,Information retrieval,Process ontology,Computer science,Ontology Inference Layer,OWL-S,Suggested Upper Merged Ontology,Upper ontology
Conference
ISBN
Citations 
PageRank 
978-1-4244-8097-5
11
0.75
References 
Authors
8
2
Name
Order
Citations
PageRank
Awny Alnusair1507.43
Tian Zhao224120.35