AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies

AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies
AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies
Bibliographical Metadata
Subject:	Ontology Alignment
Year:	2009
Authors:	Isabel F. Cruz, Flavio Palandri Antonelli, Cosmin Stroe
Venue	VLDB
Content Metadata
Problem:	Link Discovery
Approach:	No data available now.
Implementation:	AgreementMaker
Evaluation:	Performance Evaluation

Abstract

We present the AgreementMaker system for matching real-world schemas and ontologies, which may consist of hundreds or even thousands of concepts. The end users of the system are sophisticated domain experts whose needs have driven the design and implementation of the system: they require a responsive, powerful, and extensible framework to perform, evaluate, and compare matching methods. The system comprises a wide range of matching methods addressing different levels of granularity of the components being matched (conceptual vs. structural), the amount of user intervention that they require (manual vs. automatic), their usage (stand-alone vs. composed), and the types of components to consider (schema only or schema and instances). Performance measurements (recall, precision, and runtime) are supported by the system, along with the weighted combination of the results provided by those methods. The AgreementMaker has been used and tested in practical applications and in the Ontology Alignment Evaluation Initiative (OAEI) competition. We report here on some of its most advanced features, including its extensible architecture that facilitates the integration and performance tuning of a variety of matching methods, its capability to evaluate, compare, and combine matching results, and its user interfaces with a control panel that drives all the matching methods and evaluation strategies.Property "Has abstract" (as page type) with input value "We present the AgreementMaker system for matching real-world schemas and ontologies, which may consist of hundreds or even thousands of concepts. The end users of the system are sophisticated domain experts whose needs have driven the design and implementation of the system: they require a responsive, powerful, and extensible framework to perform, evaluate, and compare matching methods. The system comprises a wide range of matching methods addressing different levels of granularity of the components being matched (conceptual vs. structural), the amount of user intervention that they require (manual vs. automatic), their usage (stand-alone vs. composed), and the types of components to consider (schema only or schema and instances). Performance measurements (recall, precision, and runtime) are supported by the system, along with the weighted combination of the results provided by those methods. The AgreementMaker has been used and tested in practical applications and in the Ontology Alignment Evaluation Initiative (OAEI) competition. We report here on some of its most advanced features, including its extensible architecture that facilitates the integration and performance tuning of a variety of matching methods, its capability to evaluate, compare, and combine matching results, and its user interfaces with a control panel that drives all the matching methods and evaluation strategies." contains invalid characters or is incomplete and therefore can cause unexpected results during a query or annotation process.