Schema and ontology matching with COMA++
By David Aumüller, Hong Hai Do, Sabine Maßmann, Erhard Rahm. ACM SIGMOD Conference, 2005
768 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/d7e5fb5fbc996ee646f8482d89318b4327321017
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
- Philip A. Bernstein
- Erhard Rahm
- Jayant Madhavan
- Jie Tang
- Cássia Trojahn dos Santos
- Grigoris Antoniou
In Computer Networks and Communications
- Pavel Shvaiko
- Jérôme Euzenat
- Jayant Madhavan
- Philip A. Bernstein
- Erhard Rahm
- Heiner Stuckenschmidt
- Cássia Trojahn dos Santos
- Christian Meilicke
In Information Systems
- Pavel Shvaiko
- Jérôme Euzenat
- Philip A. Bernstein
- Jayant Madhavan
- Cássia Trojahn dos Santos
- Heiner Stuckenschmidt
- Christian Meilicke
- Francisco Javier Rodríguez-Martínez
Citations in the corpus
- Ontology Matching: State of the Art and Future Challenges (2013, background): “, COMA++ [4], AgreementMaker [52], GeRoMe [66], Harmony [67], that are able also to process ontologies, and hence, might be interested to test them within OAEI, as actually already happens, though modestly.”
- Ontology change: classification and survey (2008, methodology): “Notice that, in several cases, e.g., (Aumueller et al. 2005), (David et al. 2006), (Giunchiglia et al. 2006), (Hu & Qu 2006), (Shvaiko & Euzenat 2005), (Zhdanova & Shvaiko 2006), the term ontology (schema) matching is used to refer to ontology alignment and the two terms are used interchangeably…”
- A Survey of Schema-Based Matching Approaches (2005, neutral): “Examples of matching systems from this category are [29, 25].”
- Generic schema matching, ten years later (2011, background): “ GUI support to interactively inspect and correct computed correspondences [3][11][16][31].”
- AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies (2009, background): “There are several notable systems related to ours, including Clio [6], COMA++ [1], Falcon-AO [7], and RiMOM [14] (just to mention a few).”
- PARIS: Probabilistic Alignment of Relations, Instances, and Schema (2011, methodology): “ instances (the \A-Box"). The approaches that align the classes are manifold, using techniques such as sense clustering [14], lexical and structural characteristics [21], or composite approaches [3]. Unlike paris , these approaches can only align classes and do not consider the alignment of rel”
- RiMOM: A Dynamic Multistrategy Ontology Alignment Framework (2009, methodology): “Second, many proposed ontology alignment methods are combined after each individual alignment strategy has gotten the candidate alignment results, for example, COMA++ [2].”
- Ontology matching: A literature review (2015, background): “In this period 5 articles were found, devoted to describing these systems, (Do and Rahm, 2002), (Aumüller et al., 2005), (Aumueller et al.”
- Ontology Alignment Evaluation Initiative: Six Years of Experience (2011, background): “, COMA++ [3], AgreementMaker [12], GeRoMe [40; 39], Harmony [49; 57], that are able also to process ontologies, and hence, might be interested to test them within OAEI, as actually already happens, though modestly.”
- Ontology Matching (2007, methodology): “2 Graphic user interface of COMA++ (Aumüller et al. 2005).”