Global Matching Methods

The basic similarities presented in Chap. 5 can be considered local because, in order to assess the similarity or dissimilarity between two entities, they only consider their proper characteristics (name, internal structure and extension). We consider here global methods, which consider the characteristics holding between the various entities in order to compare them.

[1]  Natalya F. Noy,et al.  Ontology Mapping Discovery with Uncertainty , 2005 .

[2]  Stefano Spaccapietra,et al.  Database Integration: the Key to Data Interoperability , 2022 .

[3]  Pavel Shvaiko,et al.  Iterative schema-based semantic matching , 2006 .

[4]  Nacéra Bennacer,et al.  Semantic Mappings in Description Logics for Spatio-temporal Database Schema Integration , 2005, J. Data Semant..

[5]  Alain Guénoche,et al.  Trees and proximity representations , 1991, Wiley-Interscience series in discrete mathematics and optimization.

[6]  Erhard Rahm,et al.  COMA - A System for Flexible Combination of Schema Matching Approaches , 2002, VLDB.

[7]  Marc Ehrig,et al.  Ontology Alignment: Bridging the Semantic Gap , 2006 .

[8]  Alex Alves Freitas,et al.  A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set , 2006, GECCO.

[9]  Óscar Corcho,et al.  A catalogue of OWL ontology antipatterns , 2009, K-CAP '09.

[10]  Fabien L. Gandon,et al.  On Ontology Matching Problems - for Building a Corporate Semantic Web in a Multi-Communities Organization , 2004, ICEIS.

[11]  Kuo-Chung Tai,et al.  The Tree-to-Tree Correction Problem , 1979, JACM.

[12]  Solomon Eyal Shimony,et al.  Markov Network Based Ontology Matching , 2009, IJCAI.

[13]  Guilin Qi,et al.  A Conflict-based Operator for Mapping Revision , 2009, Description Logics.

[14]  Prashant Doshi,et al.  Optima+ results for OAEI 2012 , 2011, OM.

[15]  James Kennedy,et al.  Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[16]  Marc Ehrig,et al.  State of the art on ontology alignment , 2013 .

[17]  Alan F. Murray,et al.  IEEE International Conference on Neural Networks , 1997 .

[18]  Philip Resnik,et al.  Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language , 1999, J. Artif. Intell. Res..

[19]  Alexander Maedche,et al.  Clustering Ontology-Based Metadata in the Semantic Web , 2002, PKDD.

[20]  Matthew Richardson,et al.  Markov logic networks , 2006, Machine Learning.

[21]  Heiner Stuckenschmidt,et al.  A Probabilistic-Logical Framework for Ontology Matching , 2010, AAAI.

[22]  Jérôme Euzenat,et al.  Dissimilarity Measure for Collections of Objects and Values , 1997, IDA.

[23]  Fausto Giunchiglia,et al.  Semantic Matching: Algorithms and Implementation , 2007, J. Data Semant..

[24]  Yun Peng,et al.  A Bayesian Network Approach to Ontology Mapping , 2005, SEMWEB.

[25]  Heiner Stuckenschmidt,et al.  An Efficient Method for Computing Alignment Diagnoses , 2009, RR.

[26]  Heiner Stuckenschmidt,et al.  Reasoning Support for Mapping Revision , 2009, J. Log. Comput..

[27]  Steffen Staab,et al.  Measuring Similarity between Ontologies , 2002, EKAW.

[28]  George Tillmann.  Object-oriented data modeling , 1995 .

[29]  Michael N. Huhns,et al.  Agents on the Web: Personal Ontologies , 1999, IEEE Internet Comput..

[30]  Christian Meilicke,et al.  Alignment incoherence in ontology matching , 2011 .

[31]  Prashant Doshi,et al.  Inexact Matching of Ontology Graphs Using Expectation-Maximization , 2006, AAAI.

[32]  Dieter Fensel,et al.  Correspondence Patterns for Ontology Alignment , 2008, EKAW.

[33]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[34]  Anuj R. Jaiswal,et al.  OMEN: A Probabilistic Ontology Mapping Tool , 2005, SEMWEB.

[35]  Russell C. Eberhart,et al.  A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[36]  Rose Dieng,et al.  Comparison of Personal Ontologies Represented through Conceptual Graphs , 1998, ECAI.

[37]  Luciano Serafini,et al.  Bootstrapping semantics on the web: meaning elicitation from schemas , 2006, WWW '06.

[38]  Ondřej Zamazal.  Pattern-based Ontology Matching and Ontology Alignment Evaluation , 2006 .

[39]  Heiner Stuckenschmidt,et al.  A Pattern-based Ontology Matching Approach for Detecting Complex Correspondences , 2009, OM.

[40]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[41]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[42]  Erhard Rahm,et al.  Similarity flooding: a versatile graph matching algorithm and its application to schema matching , 2002, Proceedings 18th International Conference on Data Engineering.

[43]  York Sure-Vetter,et al.  Ontology Mapping - An Integrated Approach , 2004, ESWS.

[44]  Fernanda Araujo Baião,et al.  Ontology Alignment for Semantic Data Integration through Foundational Ontologies , 2012, ER Workshops.

[45]  Gilles Bisson,et al.  Learning in FOL with a Similarity Measure , 1992, AAAI.

[46]  Martha Palmer,et al.  Verb Semantics and Lexical Selection , 1994, ACL.

[47]  Andries Petrus Engelbrecht,et al.  Fundamentals of Computational Swarm Intelligence , 2005 .

[48]  Chantal Reynaud,et al.  Pattern-Based Mapping Refinement , 2010, EKAW.

[49]  Dieter Fensel,et al.  Correspondence patterns for ontology mediation , 2007 .

[50]  Jérôme Euzenat,et al.  Similarity-Based Ontology Alignment in OWL-Lite , 2004, ECAI.

[51]  Erhard Rahm,et al.  Generic Schema Matching with Cupid , 2001, VLDB.

[52]  Petko Valtchev,et al.  Construction automatique de taxonomies pour l'aide à la représentation de connaissances par objets , 1999 .

[53]  Erhard Rahm,et al.  Supporting executable mappings in model management , 2005, SIGMOD '05.

[54]  Jürgen Bock,et al.  Discrete particle swarm optimisation for ontology alignment , 2012, Inf. Sci..

[55]  George A. Miller,et al.  Using Corpus Statistics and WordNet Relations for Sense Identification , 1998, CL.