This document describes Onyx, an ontology for emotion analysis on the semantic web. It aims to provide a common format for corpora, lexica and emotion analysis services by modeling emotions and enabling provenance tracking of analysis results. Onyx benefits from the Provenance Ontology and models emotions generically while mapping to formats like EmotionML, Marl and WN-Affect. The ontology is evaluated through an emotion analysis service and by mapping EmotionML examples and vocabularies to the Onyx model. Future work includes further integration with NIF and modeling more complex emotional relationships.

1. ONYX:
Describing Emotions on
the Web of Data
J. Fernando Sánchez Rada
Universidad Politécnica de Madrid
jfernando@dit.upm.es

2. Structure of this talk
1. Introduction
2. Problem statement
3. Enabling technologies
4. Our proposal: Onyx
5. Onyx extensions
6. Evaluation
7. Future work

3. Introduction - Who are we?
● Intelligent Systems Group from Universidad
Politécnica de Madrid
○ Working on QA
○ Emotion in Agent Systems / Social Simulations
○ Big Data & Machine Learning
● Related work:
○ Vocabulary for Sentiment Analysis

4. Introduction - EUROSENTIMENT
● Multilingual Language Resource Pool for
Sentiment Analysis
○ Corpora, Lexica, etc.
○ Emotion & Sentiment
Analysis Services
● Data enrichment pipelines

5. Problem statement
● Lack of a common format for: corpora, lexica
and services (results).
○ Semantic
○ Multilingual
○ Several sources and versions (Provenance)
● Heterogeneous models and categories for
emotions

6. Enabling technologies - Prov-O
● Provenance Ontology
● W3C Recommendation (30 April 2013) [1]
[1] http://www.w3.org/TR/prov-o/

7. Marl
● Vocabulary for Opinion Mining
● Initial integration in NIF 2.0
● Used by FP7 TrendMiner (DFKI)
● Used in EUROSENTIMENT to model
sentiment/opinions
● Integrated with
, an emerging standard for
modelling Language Resources as LD

8. EmotionML
● Markup Language for emotions in three scenarios:
○ Manual annotation
○ Automatic recognition
○ Generation of behaviour
● Deals with heterogeneity of categories and
dimensions
● Well defined and accessible (W3C Recommendation)
● Metadata (IMDI, CLARIN)
● Non-semantic format (XML schema)

9. Our proposal: Onyx
● Ontology for Emotion Analysis (and more)
● Benefits from Prov-O
● Generic meta model for emotions
● Mappings to other formats

10. Overview of Onyx

11. Onyx for Emotion Analysis Results

12. Onyx for Emotion Analysis Results

13. Onyx for Emotion Analysis Results
ex:CustomAnalysis
a onyx:EmotionAnalysis;
onyx:algorithm "SimpleAlgorithm";
onyx:usesEmotionModel wna:WNAModel.
ex:Result1
a onyx:EmotionSet;
prov:wasGeneratedBy :customAnalysis;
sioc:has_creator [ sioc:UserAccount <http://twitter.com/JohnDoe>. ];
onyx:hasEmotion [
onyx:hasEmotionCategory wna:Hate;
onyx:hasEmotionIntensity 0.5;
onyx:algorithmConfidence 0.9; ];
onyx:emotionText "I hate Mondays!" ;
onyx:describesObject wn:Monday_1;
dcterms:created "2013-05-16T19:20:30+01:00"^^dcterms:W3CDTF.

14. Onyx for Lexica

15. Onyx Extensions: WN-Affect
● A-Labels to SKOS Concepts
● 300+ affects
● Transitive hierarchical relationships
● Publicly available
● Navigable tree
● Onyx Model with all these categories

16. Onyx Extensions: WN-Affect

17. Onyx Extensions: EmotionML
● Automatically process EmotionML
vocabularies [1]
● Generate the Onyx model with its categories
and dimensions
[1] http://www.w3.org/TR/2011/WD-emotion-voc-20110407/

18. Evaluation - Synesketch
● Emotion Analysis using the Synesketch PHP
port (Emote)
● NIF 2.0 API
● Outputs Onyx in RDF/JSON
● Public service available at: http://demos.gsi.dit.upm.
es/onyxemote/

19. Evaluation - EmotionML

20. Evaluation - EmotionML
● Translation of the examples from the
recommendation
● Mapping of its vocabularies to Onyx
● Working on a translation tool for resources

21. Future work
● Integration with NIF 2.0
● Further integration with Marl
● More complex treatment of emotions
○ Emotion composition
○ Include relationships between emotions as part of
the vocabulary
● Compatibility with the HEO[1]
[1] Developing HEO Human Emotions Ontology. Grassi 2009

22. Questions
J. Fernando Sánchez Rada
jfernando@dit.upm.es