Web Service Composition Framework for Tourism based Application
Keywords:
Dynamic composition, Framework design, Intelligent agent-based systems, Semantic web services, Service discovery, Service-Oriented Architecture (SOA), Tourism application, Travel planning system, Web service composition, Workflow automationAbstract
Web service composition plays a pivotal role in modern software systems, especially within the dynamic and complex domain of tourism. Tourists often rely on various services such as hotel bookings, local transportation, entertainment recommendations, and activity planning, all of which must be integrated seamlessly for an optimal user experience. However, existing platforms are limited by rigid integrations that lack flexibility, adaptability, and semantic understanding of user needs and service capabilities. This paper presents a robust and intelligent framework for semantic web service composition tailored for tourism-based applications. The framework incorporates semantic reasoning, ontology-based service descriptions, and graph-based modelling to support accurate, context-aware service discovery and dynamic composition. The core mechanism constructs a Directed Acyclic Graph (DAG) representing services and their relationships, and then uses optimal pathfinding algorithms to determine the most efficient composition paths that fulfil user goals. The architecture is modular, encompassing components for service registration, semantic matchmaking, composition graph generation, service selection, and execution monitoring. These elements collectively enable automated, intelligent, and scalable service orchestration. Experimental results using tourism-specific datasets validate the performance of the framework. Key performance indicators such as service invocation time, relevance of composed services, and overall system scalability demonstrate clear improvements over traditional approaches. The proposed system is adaptable, domain-agnostic, and designed to evolve with user behaviour and new service additions. It holds significant promise not only for tourism but also for other sectors requiring complex service orchestration. This study contributes to the growing body of research in semantic web services, providing a solution that bridges the gap between static service discovery and truly dynamic, intelligent service composition.
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