In this work we extend the commonly used binary evaluation of schema matching to support evaluation methods for non-binary matching results as well. We motivate our work with some new applications of schema matching. Non-binary evaluation is formally defined together with a set of three new, non-binary evaluation measures using a vector-space representation of schema matching outcome. We provid...

The proposed matching system aims to discover in an automatic way, the correspondence links A survey of approaches to automatic schema matching. Comparing SSD-placement strategies to scale a database-in-the-cloud. Generic Schema Matching, Ten Years Later. Corpus-based Schema Matching. Importing Items via basic bibliographic formats (Endnote, BibTex, RIS, TSV, as for outputing them in appropriat...

The use of external background knowledge can be beneficial for the task matching schemas or ontologies automatically. In this paper, we exploit six general-purpose graphs as sources task. are evaluated by applying three different exploitation strategies. We find that explicit strategies still outperform latent ones and choice strategy has a greater impact on final alignment than actual dataset ...

The deep Web has many challenges to be solved. Among them is schema matching. In this paper, we build a conceptual connection between the schema matching problem SMP and the fuzzy constraint optimization problem FCOP. In particular, we propose the use of the fuzzy constraint optimization problem as a framework to model and formalize the schema matching problem. By formalizing the SMP as a FCOP,...

neric mapping framework at the schema level to address the problem of schema interoperability Providing a formalism for developing a generic, extensible, and semi-automated mapping A semi-automatic tool for schema mapping. at the University of Washington in Seattle, where he founded the database group. on Clio, the first semi-automatic tool for heterogeneous schema mapping. Keywords: data integ...

Schema and ontology matching is a critical problem in many application domains, such as semantic web, schema/ontology integration, data warehouses, e-commerce, etc. Many different matching solutions have been proposed so far. In this paper we present a new classification of schema-based matching techniques that builds on the top of state of the art in both schema and ontology matching. Some inn...