Learning to match ontologies on the Semantic Web

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Ontology Mapping: An Information Retrieval and Interactive Activation Network Based Approach (2007, unknown): “, analyzing linguistic inform ation of elements in ontologies [15], treating ontologies as structural graphs [12], appl ying heuristic rules to look for specific mapping patterns [8] and machine learning techniques [1].”
A Survey of Schema-Based Matching Approaches (2005, unknown): “At present, there exists a line of semi-automated schema/ontology matching systems, see, for instance [29,25, 14, 32,53, 1, 27, 34,37, 31].”
Ontop: Answering SPARQL queries over relational databases (2016, background): “Ontology matching techniques [19], which are able to perform such alignment, can be seen as an extension of the schema matching techniques mentioned earlier.”
Ontology Matching: State of the Art and Future Challenges (2013, background): “The theme of a comparative evaluation of instancebased matching approaches is in its infancy, some test cases that have been used in the past can be found in [92], [93], [94], [95], while a recent approach toward a benchmark for instance matching was proposed and implemented in OAEI-2009 and OAEI-20”
Semantic Matching: Algorithms and Implementation (2007, background): “approaches addressing the matching problem can be found in [4, 15, 16, 8, 5](1).”