Enhanced Web Service Matchmaking: A Quality of Service Approach

Abstract

With the increasing number of Web services, the Semantic Web research community is moving toward enhancing procedures so that clients may effectively discover appropriate Web services that maximally satisfy not only functional but also non-functional requirements. Using purely syntactic approaches to discover Web services has limited efficiency. Therefore, semantic matchmaking registries can play an important role in providing better results. However, most of the semantic registries make decisions based on only functional requirements. Due to the proliferation of Web services that have similar functionality, there is a need to further filter Web services according to Quality of Service (QoS) specifications. This work introduces a rich QoS ontology inspired from the World Wide Web Consortium that defines relationships among QoS attributes. The QoS attributes defined here are mainly used to define network related characteristics. However, the work can be extended by defining QoS ontologies for other domains. Additionally, we extend the test collection OWLS-TC according to the QoS ontology. The extension is intended to integrate quantified values for QoS attributes into Web service descriptions. A matchmaking algorithm based on similarity measurements is presented. Moreover, deterministic and adaptive parameter control techniques are introduced to guide the requester, when needed, to adjust QoS specifications so better similarity can be achieved. Parameter control algorithms integrate Pellet, an OWL reasoner, to reason about dependencies among QoS concepts in the QoS ontology.

A Hybrid Semantic Knowledge Integration and Sharing Approach for Distributed Smart Environments

“…A number of dynamic service discovery approaches are already proposed by different researchers [ 23 , 24 , 25 , 26 , 27 ], considering context-awareness and quality of service criteria of the smart environments. The literature on service discovery approaches is quite large.…”

“…One of the biggest challenges for SOA-based service discovery techniques is to ensure the quality of service (QoS) in dynamic environments [ 59 , 60 ]. In this regard, considerable research [ 23 , 25 , 26 ] has been done to support dynamic attributes of services ranging from expanding Universal Description, Discovery, and Integration (UDDI) to register dynamic attributes of services to store and manipulate dynamic attributes. However, the enhanced techniques do not involve QoS factors that can affect dynamic score calculation, resulting in compromised service selection.…”

“…In this regard, researchers have done a lot of work [ 23 , 24 , 25 , 26 , 27 ]. However, QoS metrics, user priorities, value type direction, service-ranking, and rich context-awareness along with the uncertainty of incomplete domain knowledge modeling for smart systems operating in distributed computing environments are not considered properly, resulting in low accuracy of results.…”

Customizable Web Services Matching and Ranking Tool: Implementation and Evaluation

“…Most of existing matchmaking frameworks such as [5] [38] utilize a strict capability-based matchmaking, which is proven [1][10] to be inadequate in practice. Some recent proposals, including [5] [16], propose to use semantics to enhance the matchmaking process but most of them still consider capability attributes only.…”

“…(2) use of capability-based matchmaking, which is proven [1][10] to be inadequate in practice; (3) lack of customization support; and (4) lack of accurate ranking of matching Web services, especially within semantic-based matching. These shortcomings are discussed in more detail in the next section.…”