JOURNAL ARTICLE

QoS-Aware Parameterized Semantic Matchmaking Framework for Web Service Composition

Abstract

The paper presents a parameterized and highly customizable semantic matchmaking framework.The matchmaking approach on which this framework is based distinguishes three types of matching: functional attributelevel matching, functional service-level matching, and non-functional matching.The functional matching permits to eliminate web services that fail to meet the user functional requirements.The non-functional matching permits to categorize web services instances into different ordered QoS classes.A series of algorithms are advertised for the different types of matching.These algorithms are designed to support a customizable matching process that permits the user to control the matched attributes, the order in which attributes are compared, as well as the way the sufficiency is computed for all matching types.

Keywords:
Computer science Matching (statistics) Web service Parameterized complexity Categorization Functional requirement Quality of service Service (business) Information retrieval Process (computing) Semantic matching Data mining World Wide Web Artificial intelligence Software engineering Algorithm Computer network Programming language Mathematics

Metrics

6
Cited By
4.03
FWCI (Field Weighted Citation Impact)
25
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Business Process Modeling and Analysis
Social Sciences →  Business, Management and Accounting →  Management Information Systems

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