Survey on Ontologies for Affective States and Their Influences

Tracking #: 1506-2718

Authors: 
Rana Abaalkhail
Benjamin Guthier
Rajwa Alharthi
Abdulmotaleb El Saddik

Responsible editor: 
Harith Alani

Submission type: 
Survey Article
Abstract: 
Human behavior is impacted by emotion, mood, personality, needs and subjective well-being. Emotion and mood are human affective states while personality, needs and subjective well-being are influences on those affective states. Ontologies are a method of representing real-world knowledge, such as human affective states and their influences, in a format that a computer can process. They allow researchers to build systems that harness affective states. By unifying terms and meanings, ontologies enable these systems to communicate and share knowledge with each other. In this paper, we survey existing ontologies on affective states and their influences. We also provide the psychological background of affective states, their influences and representational models. The paper discusses a total of 20 ontologies on emotion, one ontology on mood, one ontology on needs, and 11 general purpose ontologies and lexicons. Based on the analysis of existing ontologies, we summarize and discuss the current state of the art in the field.
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Tags: 
Reviewed

Decision/Status: 
Accept

Solicited Reviews:
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Review #1
Anonymous submitted on 29/Nov/2016
Suggestion:
Accept
Review Comment:

The authors have done well to address most of the issues brought up, and overall this is a timely and very useful paper in that it reviews a large number of recently developed emotion ontologies.

Review #2
Anonymous submitted on 29/Nov/2016
Suggestion:
Accept
Review Comment:

This survey provides a thorough review of ontologies specialized in capturing and representing information regarding human affective states (i.e., emotion and mood). It should provide an essential resource to ontologists working in this area as it provides both a complete (as possible at the time of its writing) list of ontologies specific to the domain and ontologies that can expected to employed in support of these domain-specific ontologies. The presentation is well-balanced, clear, and provides a well-balanced account of the ontologies surveyed.

Review #3
Anonymous submitted on 04/Jan/2017
Suggestion:
Accept
Review Comment:

After my previous review (reviewer 3), the authors completely revised their paper and incorporated all feedback from me and as far as i saw also the other reviewers. I think this greatly improved the coverage and readability and would now accept the paper.

Minor things (typos) that i'd still correct for the final version:
- Fiend of a friend --> F_r_iend Of A Friend
- (consistently also) Friend OF A Friend --> Friend Of A Friend
- Flicker --> Flickr
- Conclusion: it distinguish variances --> it distinguishes variances


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