{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:40:12Z","timestamp":1754156412670,"version":"3.41.2"},"reference-count":47,"publisher":"Emerald","issue":"5","license":[{"start":{"date-parts":[[2020,7,2]],"date-time":"2020-07-02T00:00:00Z","timestamp":1593648000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["OIR"],"published-print":{"date-parts":[[2020,7,2]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to analyze cloud reviews according to the end-user context and requirements.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec>","DOI":"10.1108\/oir-06-2019-0207","type":"journal-article","created":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T09:13:13Z","timestamp":1594285993000},"page":"953-975","source":"Crossref","is-referenced-by-count":1,"title":["Personalized cloud service review analysis based on modularized ontology"],"prefix":"10.1108","volume":"44","author":[{"given":"Emna","family":"Ben-Abdallah","sequence":"first","affiliation":[]},{"given":"Khouloud","family":"Boukadi","sequence":"additional","affiliation":[]},{"given":"Mohamed","family":"Hammami","sequence":"additional","affiliation":[]},{"given":"Mohamed Hedi","family":"Karray","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"issue":"4","key":"key2020082008434178000_ref001","doi-asserted-by":"publisher","DOI":"10.1108\/OIR-08-2015-0289","article-title":"Sentiment analysis model to emphasize the impact of online reviews in healthcare industry","volume":"41","year":"2017","journal-title":"Online Information Review"},{"key":"key2020082008434178000_ref002","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.02.033","article-title":"Transportation sentiment analysis using word embedding and ontology-based topic modeling","volume":"174","year":"2019","journal-title":"Knowledge-Based Systems"},{"key":"key2020082008434178000_ref003","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2019.103175","article-title":"Ontology-based approach to extract product's design features from online customers' reviews","volume":"116","year":"2020","journal-title":"Computers in Industry"},{"key":"key2020082008434178000_ref004","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-22354-0_18","article-title":"Consumers' attitude toward cloud services: sentiment mining of online consumer reviews","volume":"993","year":"2020","journal-title":"Advances in Intelligent Systems and Computing"},{"key":"key2020082008434178000_ref005","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262527811.001.0001","article-title":"Building ontologies with basic formal ontology","volume-title":"Building Ontologies with Basic Formal Ontology","year":"2016"},{"key":"key2020082008434178000_ref006","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2017.11.001","article-title":"PaaSport semantic model: an ontology for a platform-as-a-service semantically interoperable marketplace","volume":"113","year":"2018","journal-title":"Data and Knowledge Engineering"},{"key":"key2020082008434178000_ref007","doi-asserted-by":"crossref","unstructured":"Ben-Abdallah, E., Boukadi, K. and Hammami, M. 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