Understanding the Semantic Web through Descriptions and Situations

By Aldo Gangemi, Peter Mika. OTM Conferences / Workshops, 2003

355 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/257a7d7e6610121f85480429d67c78962c8c0812

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. Aldo Gangemi
2. Carola Catenacci
3. Claudio Masolo
4. Christian Bizer
5. Nicola Guarino
6. Heiko Paulheim
7. Sarasi Lalithsena
8. Martin Hepp

In Information Systems

1. Carola Catenacci
2. Christian Bizer
3. Aldo Gangemi
4. Heiko Paulheim
5. Jens Lehmann
6. Sören Auer

In Molecular Biology

1. Aldo Gangemi
2. Claudio Masolo
3. Carola Catenacci
4. Christian Bizer
5. Nicola Guarino
6. Chris Welty
7. Martin Hepp

Citations in the corpus

• Named graphs, provenance and trust (2005, background): “, some more formal approaches to context [37, 40, 23] fail to address digital signatures, vital for financially sensitive applications).”
• Social Roles and their Descriptions (2004, background): “However, we believe that our general framework can be adapted to the classification of other kinds of entity, like perdurants, abstracts, etc., useful for representing complex notions such as plans and rules (Gangemi and Mika 2003).”