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Merging of axiomatic definitions of concepts in the complex OWL ontologies

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Abstract

In the last decade, ontology matching and mapping research has shown a measurable progress. This topic draws substantial attention within the research community, though it is not fully researched so far and new complex and effective solutions are needed. Current works are limited in finding alignments or mappings between concepts of heterogeneous ontologies. But, once ontology mappings are found, then how they (or their class expressions) are to be integrated automatically is left open for the ontology merging research. This paper elaborates the mapping of class expressions of concepts and contributes an algorithm for their merging in an automatic ontology merging process without any human intervention. However, the challenge of mapping axiomatic definitions is the most difficult task for merging concept definitions of the source ontologies, but it reveals significant increase in precision and recall values. In addition, with the study of these algorithms, we conclude that ontology merging facilitates when one wants to get ontology with the better quality as the combined rich axioms are added in the merged ontology. We also discuss the results of our first successful participation in the Conference, OA4QA and Anatomy track of OAEI 2015.

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Notes

  1. DKP-AOM: ontology merging tool, https://sites.google.com/site/mhdfahad/plugins.

  2. http://oaei.ontologymatching.org/2012/conference/index.html.

  3. http://oaei.ontologymatching.org/2012/conference/data/conference.zip.

  4. http://oaei.ontologymatching.org/2012/conference/data/conference-alignments.zip.

  5. http://oaei.ontologymatching.org/2015/results/index.html.

  6. http://oaei.ontologymatching.org/2015/conference/eval.html.

References

  • Alasoud A, Haarslev V, Shiri N (2009) An empirical comparison of ontology matching techniques. J Inf Sci 35(4):379–397

    Article  Google Scholar 

  • Arch-Int N, Sophatsathit P (2003) A semantic information gathering approach for heterogeneous information sources on WWW. J Inf Sci 29:357–374

    Article  Google Scholar 

  • Ba M, Diallo G (2012) ServOMap and ServOMap-lt results for OAEI (2012). In: Ontology matching workshop held with international semantic web conference 2012, vol 946. Boston, MA, USA

  • Ba M, Diallo G (2013) Large-scale biomedical ontology matching with ServOMap. IRBM 34(1):56–59

    Article  Google Scholar 

  • Bechhofer S, Harmelen FV, Hendler J, Horrocks I, McGuinness DL, Patel-Schneider PF, Stein LA (2004) OWL web ontology language reference. W3C Recommendation, 10 February (2004). http://www.w3.org/TR/owl-ref/

  • Bock C, Fokoue A, Haase P, Hoekstra R, Horrocks I, Ruttenberg A, Sattler U, Smith M, OWL 2 syntax document, OWL 2 Web ontology language structural specification and functional-style syntax. http://www.w3.org/TR/2009/REC-owl2-syntax-20091027/

  • Bruijn JD, Ehrig M, Feier C, Martín-Recuerda F, Scharffe F, Weiten M (2006) Ontology mediation, merging and aligning. In: Davies J, Studer R, Warren P (eds) Semantic web technologies: trends and research in ontology-based systems. Wiley

  • Cheatham M, et al (2015) Results of the ontology alignment evaluation initiative 2015. In: The tenth international workshop on ontology matching, held with ISWC, Bethlehem (PA US)

  • Cheatham M, Hitzler P (2013) String similarity metrics for ontology alignment. Int Semant Web Conf 2:294–309

    Google Scholar 

  • Cruz IF, Antonelli FP, Stroe C (2009) AgreementMaker: efficient matching for large real-world schemas and ontologies. PVLDB 2(2):1586–1589

    Google Scholar 

  • Djeddi W, Khadir MT (2014) A novel approach using context-based measure for matching large scale ontologies. In: Proceedings of 16th international conference on data warehousing and knowledge discovery (DAWAK 2014), September 2–4. Springer, Munich, Germany, pp 320–331

  • Dou D, McDermott D, Qi P (2002) Ontology translation by ontology merging and automated reasoning. In: Proceedings of EKAW2002 workshop on ontologies for multi-agent systems’, pp 3–18

  • Euzenat J, Shvaiko P (2007) Ontology matching. Springer, New York

    MATH  Google Scholar 

  • Fahad M (2015) Engineering Semantic Web Ontologies by Ontology Merging and Classification. http://theses.univlyon2.fr/documents/lyon2/2013/muhammad_f#p=0&a=top

  • Fahad M, Moalla N, Bouras A (2012) Detection and resolution of semantic inconsistency and redundancy in an automatic ontology merging system. J Intell Inf Syst (JIIS). doi:10.1007/s10844-012-0202-y

    Google Scholar 

  • Fahad M, Moalla N, Bouras A (2011) Towards ensuring satisfiability of merged ontology. In: Proceedings of 10th international conference on computation science, Singapore. ICCS 2011, Procedia Computer Science 4, pp 2216–2225

  • Guzman-Arenas A, Cuevas-Rasgado AD (2010) Knowledge accumulation through automatic merging of ontologies. Expert Syst Appl 37(3):1991–2005

    Article  Google Scholar 

  • Horridge M, Bechhofer S (2012) The OWL API: a Java API for OWL ontologies. Semant Web J 2(1):11–21

    Google Scholar 

  • Huber J, Sztyler T, Nößner J, Meilicke C (2011) CODI: combinatorial optimization for data integration—results for OAEI 2011. In: CEUR workshop proceedings of the 6th international workshop on ontology matching, Bonn, Germany, RWTH, Aachen, pp 134–141

  • Jerroudi Z, Ziegler J (2008) iMERGE: interactive ontology merging. In: Proceeding of 16th international conference on EKAW, Italy

  • Jimenez-Ruiz E, Cuenca Grau B, Sattler U, Schneider T, Berlanga R (2008) Safe and economic re-use of ontologies: a logic-based methodology and tool support, ESWC 2008. LNCS 5021:185–199

    Google Scholar 

  • Jimenez-Ruiz E, Cuenca Grau B (2011) LogMap: logic-based and scalable ontology matching. In: International seminor on web conference (ISWC), pp 273–288

  • Jiménez-Ruiz E, Cuenca-Grau B (2011) LogMap: logic-based and scalable ontology matching. The semantic web-ISWC 2011. Lect Notes Comput Sci 7031:273–288

    Article  Google Scholar 

  • Jiménez-Ruiz E, Cuenca-Grau B, Horrocks I, (2012) LogMap and LogMapLt results for OAEI (2012). In: Ontology matching workshop held with international semantic web conference 2012, vol 946. Boston, MA, USA

  • Jimenez-Ruiz E, Cuenca-Grau B, Horrocks I, Berlanga R (2009) Ontology integration using mappings: towards getting the right logical consequences In: Proceedings of 6th European semantic web conference, Heraklion, LNCS 5367, pp 475–479

  • Kim J, Jang M, Ha YG, Sohn JC, Lee SJ, Mo A (2005) OWL ontology merging and alignment tool for the semantic web. LNCS 3533(2005):116–123

    Google Scholar 

  • Kotis K, Vouros GA, Stergiou K (2009) Towards automatic merging of domain ontologies: the HCONE-merge approach. J Web Semant 4(1):60–79

    Article  Google Scholar 

  • Kotis K, Katasonov A, Leino J (2012) AUTOMSv2 results for OAEI 2012. In: Ontology matching workshop held with international semantic web conference 2012, vol 946. Boston, MA, USA

  • Maiz N, Fahad M, Boussaid O, Bentayeb F (2010) Automatic ontology merging by hierarchical clustering and inference mechanisms. In: Proceedings of 10th international conference on KE and KM, (IKNOW) Austria, pp 81–93

  • McGuinness DL, Fikes R, Rice J, Wilder S (2000) An environment for merging and testing large ontologies. In: Proceedings of 7th international conference on principles of knowledge representation and reasoning, Colorado, USA, pp 483–493

  • Miller G (1995) Wordnet: a lexical database for English. Commun ACM 38(11):39–41

    Article  Google Scholar 

  • Mitra P, Wiederhold G (2002) Resolving terminological heterogeneity in ontologies. In: Proceedings of workshop on ontologies and semantic interoperability, 15th ECAI, Lyon, France, pp 45–50

  • Morphadorner (2010) http://morphadorner.northwestern.edu

  • Ngo D, Bellahsene Z (2012b) YAM++ results for OAEI 2012. In: Ontology matching workshop held with international semantic web conference 2012, vol 946. Boston, MA, USA

  • Ngo D, Bellahsene Z (2012a) YAM++ : a multi-strategy based approach for ontology matching task, knowledge engineering and knowledge management. Lect Notes Comput Sci 7603:421–425

    Article  Google Scholar 

  • Noy NF, Musen MA (2003) The PROMPT suite: interactive tools for ontology merging and mapping. IJHCS 59(6):983–1024

    Google Scholar 

  • Pottinger R, Bernstein P (2003) Merging models based on given correspondences. In: Proceedings of 29th international conference on VLDB’03, Berlin, pp 862–873

  • Raunich S, Rahm E (2011) ATOM: automatic target-driven ontology merging. In: Proceedings of ICDE, pp 1276–1279

  • Raunich S, Rahm E (2012) Towards a benchmark for ontology merging. In: Proceeding of 7th OTM workshop on enterprise integration, interoperability and networking (EI2N’12), Rome, Italy

  • Shvaiko P, Euzenat J (2012) Ontology matching: state of the art and future challenges. IEEE Trans Knowl Data Eng 25(1):158–176

    Article  Google Scholar 

  • SimMetrics (2011) http://sourceforge.net/projects/simmetrics/

  • Solimando A, Jiménez-Ruiz E, Guerrini G (2014) Detecting and correcting conservativity principle violations in ontology-to-ontology mappings. Int Semant Web Conf 2:1–16

    Google Scholar 

  • Sowa JF (1996) Ontologies for knowledge sharing. In: Manuscript of the invited talk at Terminology and Knowledge Engineering Congress (TKE ’96), Vienna

  • Stumme G, Mädche A (2001) FCA-merge: bottom-up merging of ontologies. In: Proceeding of 7th IJCAI. Seattle, USA, pp 225–230

  • Visser PRS, Jones DM, Bench-Capon TJM, Shave MJR (1997) An analysis of ontological mismatches: heterogeneity versus interoperability. In: AAAI 1997 Spring symposium on ontological engineering, USA

  • Weizhuo Li, Qilin Sun (2015) GMap: results for OAEI 2015. In: Proceedings of the 10th international workshop on ontology matching collocated with the 14th international semantic web conference (ISWC)

  • Xie J, Liu F, Guan SU (2011) Tree-structure based ontology integration. J Inf Sci 37(6):594–613

    Article  Google Scholar 

Download references

Acknowledgments

I personally acknowledge Jimenez-Ruiz Ernesto for his supervision which gives me a lot of nice ideas to improve this article, and his efforts to give me help how to use alignment evaluation system (http://oaei.ontologymatching.org/) to run and test my system.

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  1. Decision and Information Sciences for Production Systems (DISP) Lab, 160 Boulevard de l’université, 69676, Bron, France

    Muhammad Fahad

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  1. Muhammad Fahad
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Correspondence to Muhammad Fahad.

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Fahad, M. Merging of axiomatic definitions of concepts in the complex OWL ontologies. Artif Intell Rev 47, 181–215 (2017). https://doi.org/10.1007/s10462-016-9479-5

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