Global Viewing of Heterogeneous Data Sources

By S. Castano, V. D. Antonellis, Sabrina De Capitani di Vimercati. IEEE Transactions on Knowledge and Data Engineering, 2001

355 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Semantic similarity methods in wordNet and their application to information retrieval on the web (2005, methodology): “An affinity-based unification method for global mapping construction across ontologies is proposed in [8].”
A Survey of Schema-Based Matching Approaches (2005, neutral): “For example, the Artemis [7] system supports the relational, OO, and ER data models; Cupid [29] supports XML and relational data models; QOM [16] supports RDF and OWL models.”
Ontology Matching (2007, methodology): “Systems) (Castano et al. 2000) was designed as a module of the MOMIS media-”
Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System (2016, background): “forms such as numerical data, texts, and images [64].”
RiMOM: A Dynamic Multistrategy Ontology Alignment Framework (2009, methodology): “propose an affinity-based unification method for global view construction [5].”
Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles (2019, background): “These make ofﬂine data-driven EAs more challenging than online data-driven EAs, particularly when the data is imbalanced [41]–[43], noisy [44], time-varying [45], or heterogeneous [46].”
The PROMPT suite: interactive tools for ontology merging and mapping (2003, neutral): “, ARTEMIS (Castano et al., 2001), Cupid (Madhavan et al.”