This paper describes how we used generic schema matching algorithms to align the Foundational Model of Anatomy (FMA) and the GALEN Common Reference Model (CRM), two large models of human anatomy. We summarize the generic schema matching algorithms we used to identify correspondences. We present sample results that highlight the similarities and differ-ences between the FMA and the CRM. We also identify uses of aggregation, transitivity, and reification, for which generic schema matching fails to produce an accurate mapping and present manually constructed solutions for them. Keywords
This dissertation presents work on deformable registration of medical images. Deformable registratio...
Background: While representation learning techniques have shown great promise in application to a nu...
Schema matching is an important and time consuming part within the data integration process. Yet, it...
The difficulty inherent in schema matching has led to the development of several generic match algor...
The objective of this study is to analyze the compari-son, through their results, of two distinct me...
An ontology is a formal representation of a domain supporting a variety of tasks. A given domain is ...
Abstract. An ontology is a formal representation of a domain modeling the entities in the domain and...
Objective: This paper reports on the alignment between two large ontologies of anatomy: the Foundati...
An ontology is a formal representation of a domain modeling the entities in the domain and their rel...
In a paper published in the 2001 VLDB Conference, we proposed treating generic schema matching as an...
The statistical analysis of large corpora of human body scans requires that these scans be in alignm...
Using deformable models to register medical images can result in problems of initialization of defor...
This paper presents feature-based alignment (FBA), a general method for efficient and robust model-t...
Abstract Background While representation learning techniques have shown great promise in application...
This paper proposes some modifications to the SMatch algorithm that enables the semantic matching of...
This dissertation presents work on deformable registration of medical images. Deformable registratio...
Background: While representation learning techniques have shown great promise in application to a nu...
Schema matching is an important and time consuming part within the data integration process. Yet, it...
The difficulty inherent in schema matching has led to the development of several generic match algor...
The objective of this study is to analyze the compari-son, through their results, of two distinct me...
An ontology is a formal representation of a domain supporting a variety of tasks. A given domain is ...
Abstract. An ontology is a formal representation of a domain modeling the entities in the domain and...
Objective: This paper reports on the alignment between two large ontologies of anatomy: the Foundati...
An ontology is a formal representation of a domain modeling the entities in the domain and their rel...
In a paper published in the 2001 VLDB Conference, we proposed treating generic schema matching as an...
The statistical analysis of large corpora of human body scans requires that these scans be in alignm...
Using deformable models to register medical images can result in problems of initialization of defor...
This paper presents feature-based alignment (FBA), a general method for efficient and robust model-t...
Abstract Background While representation learning techniques have shown great promise in application...
This paper proposes some modifications to the SMatch algorithm that enables the semantic matching of...
This dissertation presents work on deformable registration of medical images. Deformable registratio...
Background: While representation learning techniques have shown great promise in application to a nu...
Schema matching is an important and time consuming part within the data integration process. Yet, it...