Personalized cloud service review analysis based on modularized ontology. Issue 5 (2nd July 2020)
- Record Type:
- Journal Article
- Title:
- Personalized cloud service review analysis based on modularized ontology. Issue 5 (2nd July 2020)
- Main Title:
- Personalized cloud service review analysis based on modularized ontology
- Authors:
- Ben-Abdallah, Emna
Boukadi, Khouloud
Hammami, Mohamed
Karray, Mohamed Hedi - Abstract:
- Abstract : Purpose: The purpose of this paper is to analyze cloud reviews according to the end-user context and requirements. Design/methodology/approach: propose a comprehensive knowledge base composed of interconnected Web Ontology Language, namely, modular ontology for cloud service opinion analysis (SOPA). The SOPA knowledge base will be the basis of context-aware cloud service analysis using consumers' reviews. Moreover, the authors provide a framework to evaluate cloud services based on consumers' reviews opinions. Findings: The findings show that there is a positive impact of personalizing the cloud service analysis by considering the reviewers' contexts in the performance of the framework. The authors also proved that the SOPA-based framework outperforms the available cloud review sites in term of precision, recall and F-measure. Research limitations/implications: Limited information has been provided in the semantic web literature about the relationships between the different domains and the details on how that can be used to evaluate cloud service through consumer reviews and latent opinions. Furthermore, existing approaches are lacking lightweight and modular mechanisms which can be utilized to effectively exploit information existing in social media. Practical implications: The SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirementsAbstract : Purpose: The purpose of this paper is to analyze cloud reviews according to the end-user context and requirements. Design/methodology/approach: propose a comprehensive knowledge base composed of interconnected Web Ontology Language, namely, modular ontology for cloud service opinion analysis (SOPA). The SOPA knowledge base will be the basis of context-aware cloud service analysis using consumers' reviews. Moreover, the authors provide a framework to evaluate cloud services based on consumers' reviews opinions. Findings: The findings show that there is a positive impact of personalizing the cloud service analysis by considering the reviewers' contexts in the performance of the framework. The authors also proved that the SOPA-based framework outperforms the available cloud review sites in term of precision, recall and F-measure. Research limitations/implications: Limited information has been provided in the semantic web literature about the relationships between the different domains and the details on how that can be used to evaluate cloud service through consumer reviews and latent opinions. Furthermore, existing approaches are lacking lightweight and modular mechanisms which can be utilized to effectively exploit information existing in social media. Practical implications: The SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context. Originality/value: The SOPA ontology is capable of representing the content of a product/service as well as its related opinions, which are extracted from the customer's reviews written in a specific context. Furthermore, the SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context. … (more)
- Is Part Of:
- Online information review. Volume 44:Issue 5(2020)
- Journal:
- Online information review
- Issue:
- Volume 44:Issue 5(2020)
- Issue Display:
- Volume 44, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 44
- Issue:
- 5
- Issue Sort Value:
- 2020-0044-0005-0000
- Page Start:
- 953
- Page End:
- 975
- Publication Date:
- 2020-07-02
- Subjects:
- Cloud service -- Context -- Opinion analysis -- Modular ontologies
025.04 - Journal URLs:
- http://www.emeraldinsight.com/loi/oir ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/OIR-06-2019-0207 ↗
- Languages:
- English
- ISSNs:
- 1468-4527
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6260.762534
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19170.xml