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Authors: Hilal Tarakci and Nihan Kesim Cicekli

Affiliation: Middle East Technical University, Turkey

Keyword(s): User Modeling, Ubiquitous User Model, Social Web Mining, User Profiles.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaboration and e-Services ; e-Business ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Process Knowledge and Semantic Services ; Semantic Web ; Soft Computing ; Symbolic Systems

Abstract: In this paper, we propose a ubiquitous user modeling system which illustrates different aspects of the individual’s interests and his/her current and future context. The user model is constructed by aggregating and semantically enhancing the partial profiles obtained by mining socially enhanced online traces of the user on a regular basis. Those traces include actions performed and relationships established in the social web accounts in addition to the local machine traces such as bookmarks and web history. The semantical enrichment process consists of two phases: constructing an overlay model by using concepts and hierarchical information from external knowledge bases and creating links from the constructed user model concepts to supported ontologies. The former phase outputs a semantically enhanced user model whereas the latter enables interoperability between applications which use the proposed system for personalization. Moreover, fuzzy membership values are computed for each int erest and context item in the user model. In order to model the semantically enhanced user profile and represent fuzziness values, fuzzy hypergraph is used as data structure. Fuzzy hypergraph representation enables extraction of partial user profiles in the requested domains besides answering user modeling queries such as the degree of the user’s interest for the given concepts. By extracting partial profiles by specifying domains, the proposed system can be used for personalization purposes in multi application environments. (More)

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Paper citation in several formats:
Tarakci, H. and Kesim Cicekli, N. (2012). UCASFUM: A Ubiquitous Context-aware Semantic Fuzzy User Modeling System. 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 278-283. DOI: 10.5220/0004169702780283

@conference{keod12,
author={Hilal Tarakci. and Nihan {Kesim Cicekli}.},
title={UCASFUM: A Ubiquitous Context-aware Semantic Fuzzy User Modeling System},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2012) - KEOD},
year={2012},
pages={278-283},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004169702780283},
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 - UCASFUM: A Ubiquitous Context-aware Semantic Fuzzy User Modeling System
SN - 978-989-8565-30-3
IS - 2184-3228
AU - Tarakci, H.
AU - Kesim Cicekli, N.
PY - 2012
SP - 278
EP - 283
DO - 10.5220/0004169702780283
PB - SciTePress