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Research On Ontology Driven Cloud Service Collaboration Method In SWoT

Posted on:2018-06-18Degree:MasterType:Thesis
Country:ChinaCandidate:C LiFull Text:PDF
GTID:2348330512977232Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
The front-end sensing devices have perception and identification ability in Semantic Web of Things and its data characteristics are complex and scattered,constrained by the ability of front-end sensing devices to store and process data,cloud computing is required to provide powerful computing and processing capabilities to reduce the complexity of the terminal device itself.At present,there is no uniform standard for different cloud service providers in service description or specification.With the increasing number of cloud services,the traditional keyword based search is difficult to find the appropriate cloud service information accurately and efficiently from massive heterogeneous cloud services.In order to solve the problem that the current standard of cloud services is difficult to meet the needs of users,this paper proposes an ontology driven Semantic Web of Things Cloud Services Collaborative approach.This thesis uses OWL ontology to realize the collaboration of cloud services in semantic Internet of things and reference to foreign research institutions' research results for semantic coordination,semantic interoperability,cloud services semantic annotation and other related fields,and finally an ontology driven SWoT cloud services collaboration framework is proposed.First,through the REVERB based information extraction and WordNet based concept expansion,the cloud service description information and user demand information are preprocessed,and get the specific format of the description files.Then,the improvement TF-IDF algorithm gives the semantic index of cloud services.After the semantic matching module processing,the cloud services information could meet the user's functional requirements.By referring to services' QoS parameters and taking into account the uncertainty of user requirements,defines the representation of cloud services QoS attribute information in five tuples,and proposes a cloud service select method based on fuzzy QoS.The result is fed back to the service requester according to the calculated satisfaction degree through the Web interface.In order to verify the effectiveness of the above methods in the context of S WoT,this thesis finally designs and implements the ontology driven SWoT cloud services collaborative prototype system.The system can be divided into four modeles,namely information preprocessing module,cloud service directory management module,cloud service semantic matching module and cloud service selection module.Corresponding functions were realized and described in detail.Through the experimental data of the system precision and recall rate,the experimental results show that this method can provide more suitable cloud service information according to dynamic user needs.
Keywords/Search Tags:Ontology, Semantic Web of Things, Cloud Service, Semantic Collaboration, Cloud Service Collaboration
PDF Full Text Request
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