Fuzzy service conceptual ontology system for cloud service recommendation
| Autor: | Karthikeyan N K, Saravana Balaji B, Raj Kumar R S |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Service (business)
Horn clause General Computer Science Database Computer science business.industry 020206 networking & telecommunications Cloud computing 02 engineering and technology computer.file_format Ontology (information science) computer.software_genre Fuzzy logic Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering SPARQL Electrical and Electronic Engineering Web service business computer Natural language |
| Zdroj: | Computers & Electrical Engineering. 69:435-446 |
| ISSN: | 0045-7906 |
| DOI: | 10.1016/j.compeleceng.2016.09.013 |
| Popis: | In view of the diverse nature of cloud services, cloud service selection is still an open issue. Unlike web services, which are selected based on WSDL description, cloud services cannot be selected; there is no standard representation of cloud services, since most of these services are described in natural language. In this paper, we propose a cloud service recommendation system which is built upon semantic technologies. This system parses the cloud service description documents using a natural language processing method; the primary concept of the cloud service is identified and the fuzzy service ontology clusters are then updated. The user query is processed using natural language processing methods, and fuzzy connectives are used to refine the query based on first-order Horn clause logic and disjunctive normal form (DNF). A performance evaluation shows that this system provides better results than other methods. |
| Databáze: | OpenAIRE |
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