On the Ontology Instance Matching Problem

By S. Castano, A. Ferrara, Davide Lorusso, S. Montanelli. 2008

24 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Science and Operations Research, Knowledge Graphs & Representation

How researchers see this paper

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

In Artificial Intelligence

1. Simon Lacoste-Julien
2. Zoubin Ghahramani
3. Yoshua Bengio
4. Francisco Javier Rodríguez-Martínez
5. Lorena Otero-Cerdeira
6. Alex Davies
7. Gjergji Kasneci
8. Thore Graepel

In Information Systems

1. Zoubin Ghahramani
2. Simon Lacoste-Julien
3. Francisco Javier Rodríguez-Martínez
4. Lorena Otero-Cerdeira
5. Alex Davies
6. Gjergji Kasneci
7. Thore Graepel
8. Konstantina Palla

In Management Science and Operations Research

1. Zoubin Ghahramani
2. Simon Lacoste-Julien
3. Francisco Javier Rodríguez-Martínez
4. Lorena Otero-Cerdeira
5. Alex Davies
6. Gjergji Kasneci
7. Thore Graepel
8. Konstantina Palla

In Knowledge Graphs & Representation

1. Simon Lacoste-Julien
2. Alex Davies
3. Gjergji Kasneci
4. Thore Graepel
5. Zoubin Ghahramani
6. Konstantina Palla

Citations in the corpus

• SIGMa: simple greedy matching for aligning large knowledge bases (2012, background): “[6], for which the goal is to match concrete instantiations of concepts such as specific actors and specific”
• Ontology matching: A literature review (2015, background): “, 2009), (ii) instance-based matching (Castano et al., 2008), which is one among the different types of techniques to perform ontology matching.”