Konferensartikel

Aligning Anatomy Ontologies in the Ontology Alignment Evaluation Initiative

Patrick Lambrix
Department of Computer and Information Science, Linköpings universitet, Sweden

Qing Liu
Department of Computer and Information Science, Linköpings universitet, Sweden

Tan He
Department of Computer and Information Science, Linköpings universitet, Sweden

Ladda ner artikelhttp://www.ep.liu.se/ecp_article/index.en.aspx?issue=035;article=004

Ingår i: The Swedish AI Society Workshop May 27-28; 2009 IDA; Linköping University

Linköping Electronic Conference Proceedings 35:4, s. 13-20

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Publicerad: 2009-05-27

ISBN:

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

In recent years many ontologies have been developed and many of these ontologies contain overlapping information. To be able to use multiple ontologies they have to be aligned. In this paper we present and discuss results from aligning ontologies in a real case; the anatomy case in the 2008 Ontology Alignment Evaluation Initiative. We do this by briefly describing a base system for ontology alignment; SAMBO; and an extension; SAMBOdtf; and present and discuss their results for the anatomy case. SAMBO and SAMBOdtf performed best and second best among the 9 participating systems. SAMBO uses a combination of string matching and the use of domain knowledge. SAMBOdtf uses the same strategies but; in addition; uses an advanced filtering technique that augments recall while maintaining a high precision. Further; we describe the first results on ontology alignment using a partial reference alignment.

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Referenser

[1] C Caracciolo; J Euzenat; L Hollink; R Ichise; A Isaac; V Malaise; C Meilicke; J Pane; P Shvaiko; H Stuckenschmidt; O Svab-Zamazal; and V Svatek. Results of the ontology alignment evaluation initiative 2008. In Proceedings of the Third International Workshop on Ontology Matching; 2008.

[2] B Chen; H Tan; and P Lambrix. Structure-based filtering for ontology alignment. In Proceedings of the IEEE WETICE Workshop on Semantic Technologies in Collaborative Applications; pages 364–369; 2006.

[3] M Ehrig; S Staab; and Y Sure. Bootstrapping ontology alignment methods with APFEL. In Proceedings of the International Semantic Web Conference; pages 186–200; 2005.

[4] J Euzenat and P Shvaiko. Ontology Matching. Springer; 2007.

[5] S Falconer and M-A Storey. A cognitive support framework for ontology mapping. In Proceedings of the 6th International SemanticWeb Conference; pages 114–127; 2007.

[6] A G´omez-P´erez. Ontological engineering: A state of the art. Expert Update; 2(3):33–43; 1999.

[7] R Jasper and M Uschold. A framework for understanding and classifying ontology applications. In Proceedings of the 12th Workshop on Knowledge Acquisition; Modeling and Management; 1999.

[8] Y Kalfoglou andM Schorlemmer. Ontology mapping: the state of the art. The Knowledge Engineering Review; 18(1):1–31; 2003.

[9] P Lambrix and A Edberg. Evaluation of ontology merging tools in bioinformatics. In Proceedings of the Pacific Symposium on Biocomputing; pages 589–600; 2003.

[10] P Lambrix and Q Liu. Using partial reference alignments to align ontologies. In Proceedings of the 6th European Semantic Web Conference; 2009.

[11] P Lambrix and H Tan. SAMBO - a system for aligning and merging biomedical ontologies. Journal of Web Semantics; Special issue on Semantic Web for the Life Sciences; 4(3):196–206; 2006.

[12] P Lambrix; H Tan; and Q Liu. SAMBO and SAMBOdtf results for the ontology alignment evaluation initiative 2008. In Proceedings of the Third International Workshop on Ontology Matching; pages 190–198; 2008.

[13] P Lambrix; H Tan; and W Xu. Literaturebased alignment of ontologies. In Proceedings of the Third International Workshop on Ontology Matching; pages 219–223; 2008.

[14] M Mochol; A Jentzsch; and J Euzenat. Applying an analytic method for matching approach selection. In Proceedings of the Workshop on Ontology Matching; 2006.

[15] NF Noy. Semantic integration: A survey of ontology-based approaches. Sigmod Record; 33(4):65–70; 2004.

[16] P Shvaiko and J Euzenat. A survey of schemabased
matching approaches. Journal on Data Semantics;
IV:146–171; 2005.

[17] P Shvaiko and J Euzenat. Ten challenges for ontology matching. In Proceedings of the 7th International Conference on Ontologies; Databases; and Applications of Semantics; 2008.

[18] H Tan; V Jakonien?e; P Lambrix; J Aberg; and N Shahmehri. Alignment of biomedical ontologies using life science literature. In Proceedings of the International Workshop on Knowledge Discovery in Life Science Literature; LNBI 3886; pages 1–17; 2006.

[19] H Tan and P Lambrix. A method for recommending ontology alignment strategies. In Proceedings of the 6th International SemanticWeb Conference; LNCS 4825; pages 494–507; 2007.

[20] H Tan and P Lambrix. SAMBO results for the ontology alignment evaluation initiative 2007. In Proceedings of the Second International Workshop on Ontology Matching; pages 236–243; 2007.

[21] T W¨achter; H Tan; A Wobst; P Lambrix; and M Schroeder. A corpus-driven approach for design; evolution and alignment of ontologies. In Proceedings of the Winter Simulation Conference; pages 1595–1602; 2006. Invited contribution.

[22] P Wang and B Xu. Lily: ontology alignment results for OAEI 2008. In Proceedings of the Third International Workshop on Ontology Matching; pages 167–175; 2008.

[23] S Zhang and O Bodenreider. Hybrid alginement strategy for anatomical ontologies: results of the 2007 ontology alignment contest. In Proceedings of the Second International Workshop on Ontology Matching; pages 139–149; 2007.

[24] X Zhang; Q Zhong; J Li; and J Tang. RiMOM results for OAEI 2008. In Proceedings of the Third International Workshop on Ontology Matching; pages 182–189; 2008.

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