Ontology matching

Towards Large-Scale Schema and Ontology Matching... 

The developed systems for schema and ontology matching typically support several match algorithms (or matchers) and combine their results for improved match quality. There exists a large spectrum of possible matchers and different implementations... 

In the following, we first describe a general workflow-like approach to apply multiple matchers and to combine their results. We then discuss approaches for instance-based ontology matching and usage-based matching. 

For schema and ontology matching, two main types of approaches have been considered to reduce the search space that we discuss in the following ... 

Quick ontology matching (QOM) was one of the first approaches to implement this idea (Ehrig and Staab 2004). It iteratively applies a sequence of matchers and can restrict the search space for every matcher. The considered approaches to restrict the search space include focusing on elements with similar names (labels) or similar structural properties. The authors showed that the runtime complexity of QOM can be reduced to (0(n log(n)) instead of 0(n2) for ontologies of size n. 

Coma++ is available for free for research purposes, and hundreds of institutes worldwide have used and evaluated the prototype. Surprisingly, the default match workflow of Coma++ (combining four metadata-based matchers) proved to be competitive in many diverse areas, particularly for matching XML schemas (Algergawy et al. 2009), web directories (Avesani et al. 2005), or even meta-models derived from UML (Kappel et al. 2007). Coma- — - successfully participated in the ontology matching contest OAEI 2006. 

Rimom is an ontology matching prototype developed at Tsinghua University in Beijing, China (Li et al. 2009). It was one of the first systems implementing a dynamic selection of matchers, as discussed in Sect. 3.3. The schema elements and their instances are first linguistically matched structural matching is only applied if the schemas exhibit sufficient structural similarity. There are several methods for... 

This ontology matching prototype is developed at the University of Illinois at Chicago (Cruz et al. 2009). It provides a sophisticated GUI so that the user can control the iterative execution of matchers. AgreementMaker was among the best performing systems in the OAEI 2009 contest. 

We have provided an overview of selected approaches and current implementations for large-scale schema and ontology matching. Commercial systems increasingly support automatic matching but still have to improve much to better handle large schemas. The current research prototypes share many similarities, particularly a... 

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)... 

Jean-Mary YR, Shironoshita EP, Kabuka MR (2009) Ontology matching with semantic verification. J Web Sem 7(3) 235-251... 

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