Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Applications Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

6. Global Matching Methods

verfasst von : Jérôme Euzenat, Pavel Shvaiko

Erschienen in: Ontology Matching

Verlag: Springer Berlin Heidelberg

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

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.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Basic Similarity Measures
Nächstes Kapitel Matching Strategies
Literatur
Albagli, S., Ben-Eliyahu-Zohary, R., Shimony, S.E.: Markov network based ontology matching. J. Comput. Syst. Sci. 78(1), 105–118 (2012) MathSciNetCrossRefMATH
Bach, T.-L., Dieng-Kuntz, R., Gandon, F.: On ontology matching problems (for building a corporate semantic web in a multi-communities organization). In: Proc. 6th International Conference on Enterprise Information Systems (ICEIS), Porto, Portugal, pp. 236–243 (2004)
Barthélemy, J.-P., Guénoche, A.: Trees and Proximity Representations. Wiley, Chichester (1992)
Bisson, G.: Learning in FOL with similarity measure. In: Proc. 10th National Conference on Artificial Intelligence (AAAI), San Jose, CA, USA, pp. 82–87 (1992)
Bock, J., Hettenhausen, J.: Discrete particle swarm optimisation for ontology alignment. Inf. Sci. 192, 152–173 (2012) CrossRef
Bouquet, P., Serafini, L., Zanobini, S., Sceffer, S.: Bootstrapping semantics on the web: meaning elicitation from schemas. In: Proc. 15th International World Wide Web Conference (WWW), Edinburgh, UK, pp. 505–512 (2006) CrossRef
Correa, E.S., Freitas, A.A., Johnson, C.: A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set. In: Proc. 8th Genetic and Evolutionary Computation Conference (GECCO), Seattle, WA, USA, pp. 35–42 (2006)
Dempster, A., Laird, N., Rubin, D.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. 39(1), 1–38 (1977) MathSciNetMATH
Dieng, R., Hug, S.: Comparison of “personal ontologies" represented through conceptual graphs. In: Proc. 13th European Conference on Artificial Intelligence (ECAI), Brighton, UK, pp. 341–345 (1998)
Do, H.-H., Rahm, E.: COMA—a system for flexible combination of schema matching approaches. In: Proc. 28th International Conference on Very Large Data Bases (VLDB), Hong Kong, China, pp. 610–621 (2002) CrossRef
Doshi, P., Kolli, R., Thomas, C.: Inexact matching of ontology graphs using expectation-maximization. J. Web Semant. 7(2), 90–106 (2009) CrossRef
Ehrig, M.: Ontology Alignment: Bridging the Semantic Gap. Springer, New York (2007). 0-387-32805-X
Ehrig, M., Sure, Y.: Ontology mapping—an integrated approach. In: Proc. 1st European Semantic Web Symposium (ESWS), Hersounisous, Greece. Lecture Notes in Computer Science, vol. 3053, pp. 76–91 (2004)
Engelbrecht, A.P.: Fundamentals of Computational Swarm Intelligence. Wiley, New York (2005)
Euzenat, J., Valtchev, P.: Similarity-based ontology alignment in OWL-lite. In: Proc. 16th European Conference on Artificial Intelligence (ECAI), Valencia, Spain, pp. 333–337 (2004)
Euzenat, J., Bach, T.L., Barrasa, J., Bouquet, P., De Bo, J., Dieng-Kuntz, R., Ehrig, M., Hauswirth, M., Jarrar, M., Lara, R., Maynard, D., Napoli, A., Stamou, G., Stuckenschmidt, H., Shvaiko, P., Tessaris, S., Van Acker, S., Zaihrayeu, I.: State of the art on ontology alignment. Deliverable D2.2.3, Knowledge web NoE (2004)
Giunchiglia, F., Shvaiko, P.: Semantic matching. Knowl. Eng. Rev. 18(3), 265–280 (2003) CrossRef
Hamdi, F., Reynaud, C., Safar, B.: Pattern-based mapping refinement. In: Proc. 17th International Conference on Knowledge Engineering and Knowledge Management (EKAW), Lisbon, Portugal. Lecture Notes in Computer Science, vol. 6317, pp. 1–15 (2010a)
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proc. IEEE International Conference on Neural Networks, Perth, Australia, pp. 1942–1948 (1995) CrossRef
Kennedy, J., Eberhart, R.: A discrete binary version of the particle swarm algorithm. In: Proc. IEEE International Conference on Systems, Man, and Cybernetics, Orlando, FL, USA, pp. 4104–4108 (1997)
Leacock, C., Chodorow, M., Miller, G.: Using corpus statistics and WordNet relations for sense identification. Comput. Linguist. 24(1), 1–40 (1998)
Mädche, A., Staab, S.: Measuring similarity between ontologies. In: Proc. 13th International Conference on Knowledge Engineering and Knowledge Management (EKAW), Siguenza, Spain. Lecture Notes in Computer Science, vol. 2473, pp. 251–263 (2002)
Mädche, A., Zacharias, V.: Clustering ontology-based metadata in the semantic web. In: Proc. 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Helsinki, Finland, pp. 348–360 (2002) CrossRef
Madhavan, J., Bernstein, P., Rahm, E.: Generic schema matching with Cupid. In: Proc. 27th International Conference on Very Large Data Bases (VLDB), Rome, Italy, pp. 48–58 (2001)
Meilicke, C.: Alignment incoherence in ontology matching. PhD thesis, Universität Mannheim, Mannheim, Germany (2011)
Meilicke, C., Stuckenschmidt, H.: An efficient method for computing alignment diagnoses. In: Proc. 3rd International Conference on Web Reasoning and Rule Systems (RR), Chantilly, VA, USA, pp. 182–196 (2009) CrossRef
Meilicke, C., Stuckenschmidt, H., Tamilin, A.: Reasoning support for mapping revision. J. Log. Comput. 19(5), 807–829 (2009) MathSciNetCrossRefMATH
Melnik, S., Garcia Molina, H., Rahm, E.: Similarity flooding: a versatile graph matching algorithm. In: Proc. 18th International Conference on Data Engineering (ICDE), San Jose, CA, USA, pp. 117–128 (2002) CrossRef
Melnik, S., Bernstein, P., Halevy, A., Rahm, E.: Supporting executable mappings in model management. In: Proc. 24th International Conference on Management of Data (SIGMOD), Baltimore, MD, USA, pp. 167–178 (2005)
Mitra, P., Noy, N., Jaiswal, A.: Ontology mapping discovery with uncertainty. In: Proc. 4th International Semantic Web Conference (ISWC), Galway, Ireland. Lecture Notes in Computer Science, vol. 3729, pp. 537–547 (2005)
Niepert, M., Meilicke, C., Stuckenschmidt, H.: A probabilistic-logical framework for ontology matching. In: Proc. 24th Conference on Artificial Intelligence (AAAI), Atlanta, GA, USA, pp. 1413–1418 (2010)
Padilha, N., Baião, F., Revoredo, K.: Ontology alignment for semantic data integration through foundational ontologies. In: Proc. 2nd International Workshop on Modeling and Reasoning for Business Intelligence (MORE-BI) at the 31st International Conference on Conceptual Modeling (ER), Florence, Italy. Lecture Notes in Computer Science, vol. 7518, pp. 172–181 (2012)
Pan, R., Ding, Z., Yu, Y., Peng, Y.: A Bayesian network approach to ontology mapping. In: Proc. 4th International Semantic Web Conference (ISWC), Galway, Ireland. Lecture Notes in Computer Science, vol. 3729, pp. 563–577 (2005)
Parent, C., Spaccapietra, S.: Database integration: the key to data interoperability. In: Papazoglou, M., Spaccapietra, S., Tari, Z. (eds.) Object-Oriented Data Modeling, pp. 221–253. MIT Press, Cambridge (2000). Chap. 9
Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Francisco (1988)
Qi, G., Ji, Q., Haase, P.: A conflict-based operator for mapping revision. In: Proc. 8th International Semantic Web Conference (ISWC), Chantilly, VA, USA. Lecture Notes in Computer Science, vol. 5823, pp. 521–536 (2009)
Resnik, P.: Semantic similarity in a taxonomy: an information-based measure and its application to problems of ambiguity in natural language. J. Artif. Intell. Res. 11, 95–130 (1999) MATH
Richardson, M., Domingos, P.: Markov logic networks. Mach. Learn. 62(1–2), 107–136 (2006) CrossRef
Ritze, D., Meilicke, C., Šváb-Zamazal, O., Stuckenschmidt, H.: A pattern-based ontology matching approach for detecting complex correspondences. In: Proc. 4th International Workshop on Ontology Matching (OM) at the 8th International Semantic Web Conference (ISWC), Chantilly, VA, USA, pp. 25–36 (2009)
Roussey, C., Corcho, Ó., Vilches Blázquez, L.M.: A catalogue of OWL ontology antipatterns. In: Proc. 5th International Conference on Knowledge Capture (K-CAP), Redondo Beach, CA, USA, pp. 205–206 (2009) CrossRef
Russell, S., Norvig, P.: Artificial Intelligence: a Modern Approach. Prentice Hall, Englewood Cliffs (1995) MATH
Scharffe, F.: Representing correspondence patterns with expressive ontology alignments. PhD thesis, University of Innsbruck, Innsbruck, Austria (2008)
Scharffe, F., Fensel, D.: Correspondence patterns for ontology mediation. In: Proc. 16th International Conference on Knowledge Engineering and Knowledge Management (EKAW), Acitrezza, Italy. Lecture Notes in Computer Science, vol. 5268, pp. 83–92 (2008)
Shvaiko, P.: Iterative schema-based semantic matching. PhD thesis, University of Trento, Trento, Italy (2006)
Sotnykova, A., Vangenot, C., Cullot, N., Bennacer, N., Aufaure, M.-A.: Semantic mappings in description logics for spatio-temporal database schema integration. J. Data Semant. III, 143–167 (2005)
Šváb-Zamazal, O.: Pattern-based ontology matching and ontology alignment evaluation. PhD thesis, University of Economics, Prague, Czech Republic (2010)
Thayasivam, U., Doshi, P.: Optima results for OAEI 2011. In: Proc. 6th International Workshop on Ontology Matching (OM) at the 10th International Semantic Web Conference (ISWC), Bonn, Germany, pp. 204–211 (2011)
Valtchev, P.: Construction automatique de taxonomies pour l’aide à la représentation de connaissances par objets. Thèse d’informatique, Université Grenoble 1, Grenoble, France (1999)
Valtchev, P., Euzenat, J.: Dissimilarity measure for collections of objects and values. In: Proc. 2nd Symposium on Intelligent Data Analysis (IDA), London, UK. Lecture Notes in Computer Science, vol. 1280, pp. 259–272 (1997)
Wu, Z., Palmer, M.: Verb semantics and lexical selection. In: Proc. 32nd Annual Meeting of the Association for Computational Linguistics (ACL), Las Cruces, NM, USA, pp. 133–138 (1994) CrossRef
Metadaten
Titel
Global Matching Methods
verfasst von
Jérôme Euzenat
Pavel Shvaiko
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
Ontology Matching

Print ISBN: 978-3-642-38720-3

Electronic ISBN: 978-3-642-38721-0

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-642-38721-0_6

Neuer Inhalt

    Bildnachweise