FAETON: Form Analysis and Extraction Tool for ONtology construction

Abstract: This paper presents a method for semi-automatically building tailored application ontologies from a set of data acquisition forms. Such ontologies are intended to facilitate the integration of very heterogeneous data generation processes and their linkage to well-known external resources. The resulting tool is being applied to the medical domain, where a wide variety of knowledge and linguistic resources are available. The proposed method consists of first inferring the implicit structure of the forms and then semantically annotating all their textual elements. Finally, by applying a set of patterns over the form inferred structure, the tool generates the ontology axioms that describe it. Our initial results demonstrate that the approach can perform effectively.

• Type: Journal
• Year: 2010
• Where: IJCAT
• Authors: Rafael Berlanga Llavori, Ernesto Jiménez-Ruiz, Victoria Nebot, Ismael Sanz
• Keywords: Data Acquisition Forms, Heterogeneous Data Generation, IJCAT 2010, Well-known External Resources