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Mapping Object Role Modeling 2 Schemes into SROIQ (D) Description Logic
TLDR
This paper presents the mapping rules from a rich graphical conceptual modeling technique called ORM2 to SROIQ (D), which represents the description logic underlying OWL2.
An Enhanced Approach for Arabic Sentiment Analysis
TLDR
This paper proposes a new hybrid lexicon approach for Arabic sentiment analysis that combines in the same framework both unsupervised and supervised technique and shows that the proposed approach gives better results.
A Sentiment Analysis Tool for Determining the Promotional Success of Fashion Images on Instagram
TLDR
The basic question asked in this paper is whether there are certain visual aesthetics that appeal more to the user and are therefore more successful on social media than others as determined by a measure, ‘Social Value’.
Sentiment analysis of Arabic comparative opinions
TLDR
This paper proposes an unsupervised sentiment analysis technique for Arabic comparative opinions to identify the preferred entity and results are very promising with a total average of 96.5% f-measure of correctly identified sentiment.
Efficient Management of Perishable Inventory by Utilizing IoT
TLDR
An analytical study that reviews recent research and development efforts in the utilization of IoT for the management of perishable inventory reveals the opportunities that are not yet fully realized, and the challenges that need to be efficiently solved to enable their realization.
Feature-based sentiment analysis in online Arabic reviews
TLDR
This study proposes a feature-based sentiment analysis technique for mining Arabic user generated reviews and shows that the proposed approach is able to automatically extract and identify the polarity for a large number of feature-sentiment expressions and achieve high accuracy.
Mapping object role modeling 2 schemes to OWL2 ontologies
TLDR
This paper presents the mapping rules from ORM2 conceptual modeling technique to OWL2 language and uses the OWL language to achieve the goals of semantic web.
Investigation in Customer Value Segmentation Quality under Different Preprocessing Types of RFM Attributes
TLDR
Results obtained show that using the actual value of RFM in customer segmentation reduces the clustering error (SSE) and enhances the accuracy of segmentation than using the scored RFM.
Efficient Production Monitoring on the Basis of Domain Ontologies by Utilizing IoT
TLDR
A framework for production monitoring that utilizes and integrates ontological model, which implements and integrates Semantic Sensor Network (SSN) ontology with production monitoring services is introduced.
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