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Authors: Lamiaa Abdelazziz and Khaled Nagi

Affiliation: Alexandria University, Egypt

Keyword(s): Recommender Systems, Ontology Mapping, Quality of Recommendation, Performance Analysis.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Decision Support Systems ; Enterprise Ontology ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Matching and Alignment ; Process Knowledge and Semantic Services ; Symbolic Systems

Abstract: Sharing unstructured knowledge between peers is a must in virtual organizations. The huge number of doc-uments available for sharing makes modern recommender systems indispensable. Recommender systems use several information retrieval techniques to enhance the quality of their results. Unfortunately, every peer has his/her own point of view to categorize his/her own data. The problem arises when a user tries to search for some information in his/her peers’ exposed data. The seeker categories must be matched with its responders categories. In this work, we propose a way to enhance the recommendation process based on using simple implicit ontology relations. This helps in recognizing better matched categories in the exposed data. We show that this approach improves the quality of the results with an acceptable increase in computation cost.

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Paper citation in several formats:
Abdelazziz, L. and Nagi, K. (2012). Enhancing the Results of Recommender Systems using Implicit Ontology Relations. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2012) - KEOD; ISBN 978-989-8565-30-3; ISSN 2184-3228, SciTePress, pages 5-14. DOI: 10.5220/0004105700050014

@conference{keod12,
author={Lamiaa Abdelazziz. and Khaled Nagi.},
title={Enhancing the Results of Recommender Systems using Implicit Ontology Relations},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2012) - KEOD},
year={2012},
pages={5-14},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004105700050014},
isbn={978-989-8565-30-3},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2012) - KEOD
TI - Enhancing the Results of Recommender Systems using Implicit Ontology Relations
SN - 978-989-8565-30-3
IS - 2184-3228
AU - Abdelazziz, L.
AU - Nagi, K.
PY - 2012
SP - 5
EP - 14
DO - 10.5220/0004105700050014
PB - SciTePress

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