A semantic-augmented multi-level matching model of Web services

Liu, Min; Gao, Qi; Shen, Weiming; Hao, Qi; Yan, Junwei

doi:10.1007/s11761-009-0045-8

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…They also provide ranking. Liu et al [18] achieve a fusion with five grades of matching, a collaboration of syntactic and semantic matching, as well as considering QoS and other dependency features. The OWLS-MX [19] matchmaker performs hybrid semantic matching that complements logic based reasoning with syntactic IR based similarity metrics.…”

Section: Related Workmentioning

confidence: 99%

An Improved Light-Weight Matchmaking Mechanism for Discovering Owl-S Services Based on Sparql, Bipartite and NLP Approach

Lakshmi¹,

Dhas²

2014

MJS

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Semantic Web services integrate the meaningful content of the Semantic Web with the business logic of Web services and thus enable industries and individuals to access these services. But as the number of available Web services increase, there is a growing demand for a mechanism for effective retrieval of required services. We propose an improved Semantic Web service discovery method for finding OWL-S (Web Ontology Language for Services) services by combining functional similarity matching (using bipartite graph) and textual similarity matching. However, discovering relevant Semantic Web service is a heavyweight task. Performance of service discovery is significantly reduced when the number of services increases. To overcome this issue, a lightweight filtering stage is also introduced before the discovery mechanism. Filtering is performed by semantic-based SPARQL (Simple Protocol and RDF Query Language) query. It will significantly reduce the input for the discovery process. Thus the search space and the time required to find the relevant services will be reduced. The proposed techniques are applied to a sample test collection and experimental results are presented, which demonstrate the effectiveness of the idea.

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Section: Related Workmentioning

confidence: 99%

An Improved Light-Weight Matchmaking Mechanism for Discovering Owl-S Services Based on Sparql, Bipartite and NLP Approach

Lakshmi¹,

Dhas²

2014

MJS

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“…UDDI enables browsing and searching of services based on several categorization schemes describing industry sectors, product catalogs, and geographic information (see e.g., [24]). Service providers are responsible for publishing a description of the services they provide.…”

Section: Designing An Architecture For Matching Supply and Demand Of mentioning

confidence: 99%

Designing, formalizing, and evaluating a flexible architecture for integrated service delivery: combining event-driven and service-oriented architectures

Overbeek

Janssen

Bommel

2012

SOCA

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An influx of service providers collaborate in networks to meet their clients' demands. Integrated service delivery (ISD) is a way to let networked service providers offer services to their clients by bundling selected services offered by each provider so that clients do not have to deal with each single provider anymore. Designing such a network is a complicated endeavor as independent organizations need to collaborate and should understand how their activities are dependent on each other. Communication of events is necessary to deal with unpredictable and complex processes in such a network. In contrast with conventional event-driven architecture and service-oriented architecture (SOA) approaches, the hybrid model of event-driven interactions and SOA offers the required flexibility to realize ISD. This flexibility is realized by integrating not only services but also the processes of the different service providers to supply such services. A design science approach has been applied resulting in a detailed and formalized design of an eventdriven service-oriented architecture (EDSOA). The EDSOA has been illustrated to show how ISD is realized with support of the architecture in a scenario concerning an application for a temporary residence permit by an immigrant. An evaluative workshop has been conducted which reflected that the following criteria are most important for successful organizational adoption of the EDSOA: expected usefulness, fit with

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Software as a Service, Semantic Web, and Big Data

Kasemsap

2017

Advances in Systems Analysis, Software Engineering, and High Performance Computing

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This chapter explains the overview of software as a service (SaaS); SaaS and application service provision (ASP); the security concern of SaaS; the perspectives on SaaS adoption; the challenges of SaaS in the digital age; the overview of the Semantic Web; the current trends in the Semantic Web services; the overview of Big Data; the concept of Big Data analytics; and the prospects of Big Data in the digital age. SaaS offers a wide range of business applications through the cloud computing service providers toward enhancing organizational performance. The Semantic Web extends beyond the capabilities of the current Web 2.0, thus enabling more effective collaborations and smarter decision making in modern operations. Big Data from the cloud computing platforms provides the significant advantage, if the essential data sources are hosted by the same SaaS and enhanced by the Semantic Web technologies.

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A semantic-augmented multi-level matching model of Web services

Cited by 5 publications

References 11 publications

An Improved Light-Weight Matchmaking Mechanism for Discovering Owl-S Services Based on Sparql, Bipartite and NLP Approach

An Improved Light-Weight Matchmaking Mechanism for Discovering Owl-S Services Based on Sparql, Bipartite and NLP Approach

Designing, formalizing, and evaluating a flexible architecture for integrated service delivery: combining event-driven and service-oriented architectures

Software as a Service, Semantic Web, and Big Data

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