FCA-MERGE: Bottom-Up Merging of Ontologies

By Gerd Stumme, Alexander Maedche. International Joint Conference on Artificial Intelligence, 2001

744 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/328eeead2e4eac607886671057f1b100411e759f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Promptdiff: a fixed-point algorithm for comparing ontology versions (2002, methodology): “The main thrust of research in database-schema versioning also uses the assumption that a record of changes between versions is readily available ( Roddick 1995 ).”
Meteor-s web service annotation framework (2004, methodology): “The techniques used are also varied, ranging from machine learning [22][23], graph analysis [20][24] to heuristic based matching [24].”
A survey on ontology mapping (2006, background): “The growing usage of ontologies or the distributed nature of ontology development has led to a large number of ontologies which have the same or overlapping domains.(15,17) These should be merged or aligned to be reused.”
Automatic fuzzy ontology generation for semantic Web (2006, background): “FCA is widely used for various applications, such as, text processing [30], [31], [32], ontology merging [33], [34], e-mail manager [35], [36], e-learning [37], Web navigation [38], and expert system [39].”
Semantic integration: a survey of ontology-based approaches (2004, methodology): “FCA-Merge [23] is a method for comparing ontologies”
Ontology Matching with Semantic Verification (2009, unknown): “Recognizing this, systems such as FCA-Merge [39] and T-Tree [12] analyze subclass and superclass relationships for each entity as well as the lexical correspondences, and additionally require that the ontologies have instances to improve comparison.”
Similarity-Based Ontology Alignment in OWL-Lite (2004, methodology): “FCA-Merge [14] uses formal concept analysis techniques to merge two ontologies sharing the same set of instances while properties of classes are ignored.”
Ontology Matching (2007, methodology): “FCA-merge uses formal concept analysis techniques to merge two ontologies sharing the same set of instances (Stumme and Mädche 2001).”