Authors:
Pedro Bispo Santos
;
Leandro Krug Wives
and
José Palazzo Moreira de Oliveira
Affiliation:
UFRGS, Brazil
Keyword(s):
Web Services, Similarity, Matchmaking.
Related
Ontology
Subjects/Areas/Topics:
Internet Technology
;
System Integration
;
Web Information Systems and Technologies
;
Web Services and Web Engineering
Abstract:
The current paper presents an improved approach for an ontology-based semantic Web service similarity assessment algorithm. The algorithm uses information from IOPE (Inputs, Outputs, Preconditions, Effects) categories, searching for information about the concepts located in these categories, analyzing how they are related in an ontology taxonomy. Experiments performed using a data set containing 1083 OWL-S semantic web services show that the improved approach increases the algorithm precision, decreasing the number of
false positives in the retrieved results, and still having a good recall. Furthermore, this work presents the parameters that were used to achieve better precision, recall and f-measure.