Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Objectives: To compare the alignments of two large anatomical ontologies (the Foundational Model of Anatomy and GALEN) produced by three ontology alignment systems (AOAS, FALCON and PRIOR) in the framework of the Ontology Alignment Evaluation Initiative during its 2006 campaign. Materials: Number of mappings identified by AOAS: 3,132, FALCON: 2,518 and PRIOR: 2,589.   Methods: Three approaches to analysing and comparing the results re utilized: computing the overlap among result files, manual review of some 2,000 mappings and structural validation. Conclusions: The generic systems FALCON and PRIOR identify many false positives and false negatives. With a stricter and domain-specific lexical similarity model, AOAS has a better precision, but is more sensitive to missing synonyms and misspellings.
['Songmao Zhang', 'Olivier Bodenreider']
I am writing a research paper on a idea Lessons learned from cross-validating alignments between large anatomical ontologies.
[{"from": "human", "value": "I am writing a research paper on a idea Lessons learned from cross-validating alignments between large anatomical ontologies."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Objectives: To compare the alignments of two large anatomical ontologies (the Foundational Model of Anatomy and GALEN) produced by three ontology alignment systems (AOAS, FALCON and PRIOR) in the framework of the Ontology Alignment Evaluation Initiative during its 2006 campaign. Materials: Number of mappings identified by AOAS: 3,132, FALCON: 2,518 and PRIOR: 2,589.   Methods: Three approaches to analysing and comparing the results re utilized: computing the overlap among result files, manual review of some 2,000 mappings and structural validation. Conclusions: The generic systems FALCON and PRIOR identify many false positives and false negatives. With a stricter and domain-specific lexical similarity model, AOAS has a better precision, but is more sensitive to missing synonyms and misspellings."}]