Data integration plays a crucial role in business intelligence, aiding decision-makers by
consolidating data from heterogeneous sources to provide deep insights into business …

Semantic Sensor Web (SSW) links the semantic web technique with the sensor network,
which utilizes sensor ontology to describe sensor information. Annotating sensor data with …

An ontology can formally present the domain knowledge by specifying the domain concepts
and their relationships, which is a kernel technique for addressing the data heterogeneity …

Data heterogeneity is the obstacle for the resource sharing on Semantic Web (SW), and
ontology is regarded as a solution to this problem. However, since different ontologies are …

Owing to the availability of high computing servers and clusters to process the data, factors
such as data skewness, class imbalance, and scalability in big data cause slow processing …

Blocking techniques are widely applied in Entity Resolution (ER) approaches as
preprocessing step in order to avoid the quadratic cost of the ER task. In this context …

As cities are becoming green and smart, public information systems are being revamped to
adopt digital technologies. There are several sources (official or not) that can provide …

Cette thèse aborde l'intégration de l'intelligence artificielle dans le monde réel, tout en
respectant le concept de la technologie calme. À cette fin, le «Wise Object Framework» qui …

The Entity Resolution (ER) task emerges as a fundamental step to integrate multiple knowl-
edge bases or identify similarities between data (entities). To avoid the quadratic cost of the …

Resumo In the Smart Cities scenario, to avoid the conflicting geospatial records between
official and non-official sources, it is necessary to detect the inconsistencies regarding the …