Ontology Mapping: An Information Retrieval and Interactive Activation Network Based Approach

By Ming Mao. 2007

39 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Molecular Biology, Information Retrieval & Search

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. Alex Davies
5. Gjergji Kasneci
6. Thore Graepel
7. Konstantina Palla
8. Sergey Levine

In Information Systems

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

In Molecular Biology

1. Simon Lacoste-Julien
2. Alex Davies
3. Gjergji Kasneci
4. Thore Graepel
5. Zoubin Ghahramani
6. Konstantina Palla
7. Gerhard Weikum
8. Fabian M. Suchanek

In Information Retrieval & Search

1. Simon Lacoste-Julien
2. Alex Davies
3. Gjergji Kasneci
4. Thore Graepel
5. Zoubin Ghahramani
6. Konstantina Palla
7. Gerhard Weikum
8. Fabian M. Suchanek

Citations in the corpus

• SIGMa: simple greedy matching for aligning large knowledge bases (2012, positive): “The idea to propagate information on a relationship graph has been used in several other approaches for ontology matching [14, 21], though none were scalable for the size of knowledge bases that we considered.”