Web Service Discovery Using Bio-Inspired Holistic Matching Based Linked Data Clustering Model for RDF Data

2019 ◽  
Vol 12 ◽  
Author(s):  
Manish Kumar Mehrotra ◽  
Suvendu Kanungo
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Data Clustering ◽  
Linked Data ◽  
Service Discovery ◽  
Data Retrieval ◽  
Data Representation ◽  
Web Service Discovery ◽  
Clustering Model ◽  
Rdf Data

: Resource description framework (RDF) is the de-facto standard language model for semantic data representation on Semantic Web. Designing an efficient management of RDF data with huge volume and efficient querying techniques are the primary research areas in semantic web. So far, several RDF management methods have been offered with data storage designs and query processing algorithms for data retrieval. We propose a Bio-inspired Holistic Matching based Linked Data Clustering (BHM-LDC) which works based on RDF data storing, clustering the linked data and web service discovery. Initially the BHM-LDC algorithm store the RDF dataset as graph based linked data. Then, an Integrated Holistic Entity Matching based Distributed Genetic Algorithm (IHEM-DGA) is proposed to cluster the linked data. Finally, modified sub-graph matching based Web Service Discovery Algorithm uses the clustered triples to find the best web services. The performance of the proposed web service discovery approach is established by business RDF dataset.

Semantic Web Services for Simulation Component Reuse and Interoperability

2010 ◽  
pp. 336-352
Keyword(s):  
Software Engineering ◽  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Organizational Boundaries ◽  
Web Service Discovery ◽  
Novel Approach ◽  
Commercial Off The Shelf ◽  
Semantic Interoperation

Commercial-off-the-shelf (COTS) Simulation Packages (CSPs) are widely used in industry primarily due to economic factors associated with developing proprietary software platforms. Regardless of their widespread use, CSPs have yet to operate across organizational boundaries. The limited reuse and interoperability of CSPs are affected by the same semantic issues that restrict the inter-organizational use of software components and web services. The current representations of Web components are predominantly syntactic in nature lacking the fundamental semantic underpinning required to support discovery on the emerging Semantic Web. The authors present new research that partially alleviates the problem of limited semantic reuse and interoperability of simulation components in CSPs. Semantic models, in the form of ontologies, utilized by the authors’ Web service discovery and deployment architecture, provide one approach to support simulation model reuse. Semantic interoperation is achieved through a simulation component ontology that is used to identify required components at varying levels of granularity (i.e. including both abstract and specialized components). Selected simulation components are loaded into a CSP, modified according to the requirements of the new model and executed. The research presented here is based on the development of an ontology, connector software, and a Web service discovery architecture. The ontology is extracted from example simulation scenarios involving airport, restaurant and kitchen service suppliers. The ontology engineering framework and discovery architecture provide a novel approach to inter-organizational simulation, by adopting a less intrusive interface between participants Although specific to CSPs this work has wider implications for the simulation community. The reason being that the community as a whole stands to benefit through from an increased awareness of the state-of-the-art in Software Engineering (for example, ontology-supported component discovery and reuse, and service-oriented computing), and it is expected that this will eventually lead to the development of a unique Software Engineering-inspired methodology to build simulations in future.

Semantic Web Service Discovery

2011 ◽  
pp. 240-280 ◽  
Author(s):  
V. Tsetsos
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Semantic Web Service ◽  
Web Service Discovery ◽  
Wide Range ◽  
Near Future ◽  
Semantic Web Service Discovery ◽  
Current Systems ◽  
Semantic Discovery

This chapter surveys existing approaches to Semantic Web service discovery. Such semantic discovery will probably substitute existing keyword-based solutions in the near future, in order to overcome the limitations of the latter. First, the architectural components along with potential deployment scenarios are discussed. Subsequently, a wide range of algorithms and tools that have been proposed for the realization of Semantic Web service discovery are presented. Moreover, key challenges and open issues, not addressed by current systems, are identified. The purpose of this chapter is to update the reader on the current progress in this area of the distributed systems domain and to provide the required background knowledge and stimuli for further research and experimentation in semantics-based service discovery.

Sign in / Sign up

Export Citation Format

Share Document