Fuzzy Ontology-based Spatial Data Warehouse for Context-aware Search and Recommendation
Hajer Baazaoui-Zghal
2016
Abstract
The need to build a spatial data warehouse over all structured and unstructured data is becoming necessary in many fields. In addition, contextualized results are considered as key challenges in data warehouses, which are frequently related to only one context. However, in real life applications, decisional data are shared by several users having different profiles, which makes contextual awareness essential for decision support. In this paper, we propose a fuzzy Ontology-based Spatial Data Warehouse for contextual search and recommendation, composed of 3 main layers: (1) Data layer composed of structred, unstructred and users data, (2) Knowledge and context-aware layer and (3) Online application layer. The originality of the work described here consists on integration of uncertain data at different levels of the knowledge layer and having in the same decisional architecture contextual search and recommendation.
References
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Paper Citation
in Harvard Style
Baazaoui-Zghal H. (2016). Fuzzy Ontology-based Spatial Data Warehouse for Context-aware Search and Recommendation . In Proceedings of the 11th International Joint Conference on Software Technologies - Volume 2: ICSOFT-PT, (ICSOFT 2016) ISBN 978-989-758-194-6, pages 161-166. DOI: 10.5220/0006010501610166
in Bibtex Style
@conference{icsoft-pt16,
author={Hajer Baazaoui-Zghal},
title={Fuzzy Ontology-based Spatial Data Warehouse for Context-aware Search and Recommendation},
booktitle={Proceedings of the 11th International Joint Conference on Software Technologies - Volume 2: ICSOFT-PT, (ICSOFT 2016)},
year={2016},
pages={161-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006010501610166},
isbn={978-989-758-194-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 11th International Joint Conference on Software Technologies - Volume 2: ICSOFT-PT, (ICSOFT 2016)
TI - Fuzzy Ontology-based Spatial Data Warehouse for Context-aware Search and Recommendation
SN - 978-989-758-194-6
AU - Baazaoui-Zghal H.
PY - 2016
SP - 161
EP - 166
DO - 10.5220/0006010501610166