By Erhard Rahm (auth.), Zohra Bellahsene, Angela Bonifati, Erhard Rahm (eds.)
Requiring heterogeneous info platforms to cooperate and converse has now turn into the most important, particularly in software components like e-business, Web-based mash-ups and the existence sciences. Such cooperating platforms need to immediately and successfully fit, alternate, rework and combine huge facts units from varied resources and of alternative constitution on the way to allow seamless facts alternate and transformation.
The ebook edited through Bellahsene, Bonifati and Rahm offers an summary of the ways that the schema and ontology matching and mapping instruments have addressed the above specifications and issues to the open technical demanding situations. The contributions from prime specialists are based into 3 components: large-scale and knowledge-driven schema matching, quality-driven schema mapping and evolution, and review and tuning of matching projects. The authors describe the cutting-edge via discussing the most recent achievements reminiscent of more advantageous tools for matching info, mapping transformation verification, variation to the context and measurement of the matching and mapping projects, mapping-driven schema evolution and merging, and mapping evaluate and tuning. the final result's a coherent, finished photo of the field.
With this e-book, the editors introduce graduate scholars and complicated execs to this intriguing box. For researchers, they supply an updated resource of reference approximately schema and ontology matching, schema and ontology evolution, and schema merging.
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Extra resources for Schema Matching and Mapping
Springer, Heidelberg Euzenat J et al. (2009) Results of the ontology alignment evaluation initiative 2009. In: Proceedings of the 4th international workshop on Ontology Matching (OM-2009) Fagin R, Haas LM, Hern´andez MA, Miller RJ, Popa L, Velegrakis Y (2009) Clio: Schema mapping creation and data exchange. In: Conceptual modeling: Foundations and applications. LNCS, vol 5600. Springer, Heidelberg Falconer SM, Noy NF (2011) Interactive techniques to support ontology mapping. In: Bellahsene Z, Bonifati A, Rahm E (eds) Schema matching and mapping.
1 Comparison of match prototypes (AM AgreementMaker) COMACC Falcon Rimom Asmov Year of introduction 2002/2005 2006 2006 2007 Input p relational schemas – – – p XML schemas – – – p p p p ontologies p p Compreh. GUI . / ? dictionaries ? p p Schema partitioning – – Parallel matching – – – – p Dyn. matcher selection – – – p Mapping reuse – – – p p p p OAEI participation AM 2007 Harmony 2008 – p . / p p p p p p p p p p – – – – p p p – p – – – – – 22 E. Rahm successfully participated in OAEI ontology matching contests; some systems even implemented specific extensions to better solve certain contest tasks.
Furthermore, the automated procedures make use of the existing matchings to improve the quality of suggested matchings. The tools exploit social interaction to help improve matching quality. Users of the community that work with similar data can socially interact with each other to help validate matchings, spot errors, provide feedback, and propose alternatives [Correndo et al. 2008a]. McCann et al. 0 approaches. They have proposed an interesting approach to engage the user community [Robert McCann et al.
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