Author:
Hajer Baazaoui-Zghal
Affiliation:
University of Manouba, Tunisia
Keyword(s):
Fuzzy Ontology, Spatial Data Warehouse, Context-aware Search.
Related
Ontology
Subjects/Areas/Topics:
Context
;
Context-Aware Systems
;
Paradigm Trends
;
Software Engineering
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.