Ontologies and semantics for seamless connectivity
By M. Uschold, Michael Gruninger. SGMD, 2004
494 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/5cbc852e23edb2b22c8fa24eacb06a222c44d90d
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
- Pavel Shvaiko
- Jérôme Euzenat
- Steffen Staab
- Wilson Wong
- Wei Liu
- Mohammed Bennamoun
- Natasha Noy
- Nicola Guarino
In Information Systems
- Pavel Shvaiko
- Jérôme Euzenat
- Steffen Staab
- Mohammed Bennamoun
- Natasha Noy
- Ljiljana Stojanović
- Mark A. Musen
- Stephen W. Liddle
Citations in the corpus
- What Is an Ontology? (2009, background): “This gives rise to the continuum introduced by [17] and depicted in Fig.”
- Ontology learning from text: A look back and into the future (2012, background): “The extent of relational and axiomatic richness and the formality of representation eventually gave rise to a spectrum of ontology kinds [Uschold and Gruninger 2004].”
- A Survey of Schema-Based Matching Approaches (2005, unknown): “– Ontologies and schemas are similar in the sense that (i) they both provide a vocabulary of terms that describes a domain of interest and (ii) they both constrain the meaning of terms used in the vocabulary [37, 70].”
- Semantic integration: a survey of ontology-based approaches (2004, methodology): “We refer the reader to another article in this issue [24] for a detailed”
- Ontology Matching (2007, background): “1 Various forms of ontologies ordered by their expressivity (adapted from (Uschold and Gruninger 2004)).”