Semantic Resource Adaptation Based on Generic Ontology Models

Bujar Raufi, Florije Ismaili, Jaumin Ajdari, Mexhid Ferati, Xhemal Zenuni

Abstract

In recent years, a substantial shift from the web of documents to the paradigm of web of data is witnessed. This is seen from the proliferation of massive semantic repositories such as Linked Open Data. Recommending and adapting resources over these repositories however, still represents a research challenge in the sense of relevant data aggregation, link maintenance, provenance and inference. In this paper, we introduce a model of adaptation based on user activities for performing concept adaptation on large repositories built upon extended generic ontology model for Adaptive Web-Based Systems. The architecture of the model is consisted of user data extraction, user knowledgebase, ontology retrieval and application and a semantic reasoner. All these modules are envisioned to perform specific tasks in order to deliver efficient and relevant resources to the users based on their browsing preferences. Specific challenges in relation to the proposed model are also discussed.

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Paper Citation


in Harvard Style

Raufi B., Ismaili F., Ajdari J., Ferati M. and Zenuni X. (2014). Semantic Resource Adaptation Based on Generic Ontology Models . In Proceedings of the 9th International Conference on Software Paradigm Trends - Volume 1: ICSOFT-PT, (ICSOFT 2014) ISBN 978-989-758-037-6, pages 103-108. DOI: 10.5220/0005096001030108


in Bibtex Style

@conference{icsoft-pt14,
author={Bujar Raufi and Florije Ismaili and Jaumin Ajdari and Mexhid Ferati and Xhemal Zenuni},
title={Semantic Resource Adaptation Based on Generic Ontology Models},
booktitle={Proceedings of the 9th International Conference on Software Paradigm Trends - Volume 1: ICSOFT-PT, (ICSOFT 2014)},
year={2014},
pages={103-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005096001030108},
isbn={978-989-758-037-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Software Paradigm Trends - Volume 1: ICSOFT-PT, (ICSOFT 2014)
TI - Semantic Resource Adaptation Based on Generic Ontology Models
SN - 978-989-758-037-6
AU - Raufi B.
AU - Ismaili F.
AU - Ajdari J.
AU - Ferati M.
AU - Zenuni X.
PY - 2014
SP - 103
EP - 108
DO - 10.5220/0005096001030108