An API for Ontology Alignment

By Jérôme Euzenat. International Workshop on the Semantic Web, 2004

459 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/fc632c074efce8b528d65ccdc7c2cec7ba181620

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. Pavel Shvaiko
2. Jérôme Euzenat
3. Cássia Trojahn dos Santos
4. Heiner Stuckenschmidt
5. Christian Meilicke
6. Giorgos Stoilos
7. Stefanos D. Kollias
8. Giorgos B. Stamou

In Computer Networks and Communications

1. Pavel Shvaiko
2. Jérôme Euzenat
3. Heiner Stuckenschmidt
4. Cássia Trojahn dos Santos
5. Christian Meilicke
6. Giorgos Stoilos
7. Stefanos D. Kollias
8. Giorgos B. Stamou

In Information Systems

1. Pavel Shvaiko
2. Jérôme Euzenat
3. Cássia Trojahn dos Santos
4. Heiner Stuckenschmidt
5. Christian Meilicke
6. Giorgos Stoilos
7. Stefanos D. Kollias
8. Giorgos B. Stamou

Citations in the corpus

• Ten Challenges for Ontology Matching (2008, background): “Despite efforts on meta-matching systems, composing matchers [18, 48, 50] and on Alignment API [19], ontology matching largely lacks interoperability benchmarks between tools.”
• A String Metric for Ontology Alignment (2005, methodology): “In order to perform the alignment and evaluation experiments we used the API for ontology alignment introduced by Euzenat [23].”
• Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL (2011, unknown): “[Euzenat 2004] J. Euzenat.”
• Ontology Matching (2007, methodology): “We provide a definition of alignments extending (Euzenat 2004; Bouquet et al. 2004a).”
• A Survey of Schema-Based Matching Approaches (2005, unknown): “The above definition is highly motivated by the work of [17,5] which contain an in-depth discussion on a format for expressing alignments between ontologies.”
• Ontology Alignment Evaluation Initiative: Six Years of Experience (2011, methodology): “This approach differs from the approach conducted in the OAEI campaigns where participants send their results (and their systems) to the OAEI organizers in the Alignment API format [21].”
• Ontology Matching: State of the Art and Future Challenges (2013, methodology): “Below we summarize the recent advances along the three previous issues: • Initial steps towards better evaluation measures have already been done by proposing semantic versions of precision and recall [83] implemented in [84] and in the Alignment API [85, 86].”