Mohtasseb , Haytham and Ahmed, Amr (2010) PsychoNet: a psycholinguistc commonsense ontology. In: KEOD 2010 International Conference on Knowledge Engineering and Ontology Development part of IC3K, 25 - 28 October, 2010, Valencia, Spain.
KEOD_2010_8_CR.pdf - Whole Document
|Item Type:||Conference or Workshop contribution (Paper)|
|Item Status:||Live Archive|
Ontologies have been widely accepted as the most advanced knowledge representation model. This paper introduces PsychoNet, a new knowledgebase that forms the link between psycholinguistic taxonomy, existing in LIWC, and its semantic textual representation in the form of commonsense semantic ontology, represented by ConceptNet. The integration of LIWC and ConceptNet and the added functionalities facilitate employing ConceptNet in psycholinguistic studies. Furthermore, it simplifies utilization of the huge network of ConceptNet for a specific multimedia application based on key category(ies) from LIWC, such as visual or biological applications. PsychoNet adds a new layer of complementary psycholinguistic functions to the original semantic network. Moreover, learning, either clustering or classification, is more applicable in the developed ontology. The paper shows a sample application of text classification for mood prediction task. The result confirms the validity of the proposed network as PsychoNet outperforms LIWC in mood prediction.
|Keywords:||Semantic Web, ConceptNet, Psycholinguistic, Commonsense, Text Mining, Ontology|
|Subjects:||G Mathematical and Computer Sciences > G700 Artificial Intelligence|
G Mathematical and Computer Sciences > G760 Machine Learning
G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G720 Knowledge Representation
Q Linguistics, Classics and related subjects > Q150 Psycholinguistics
|Divisions:||College of Science > School of Computer Science|
|Deposited On:||31 Oct 2010 20:37|
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