- Melbourne Medical School Collected Works - Research Publications
Melbourne Medical School Collected Works - Research Publications
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ItemNo Preview AvailableThe reflected selfNEWMAN, L ; Boyle Spelman, M ; Thomson-Salo, F (Karnac Books, 2015)
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ItemNo Preview AvailableChildren’s views of safety and adversity when living with domestic violenceMORRIS, A ; Humphreys, C ; Hegarty, K ; Stanley, N ; Humphreys, C (Jessica Kingsley Publishers, 2015)
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ItemNo Preview AvailableChild Development and DisabilityEfron, D ; Marraffa, C ; Reilly, S ; REDDIHOUGH, D (Wiley Blackwell, 2015)Resident Medical Officers' Handbook, Lawson JS, ed. (Foreword: Sloan LEG). 100 p. Snap-lock ring binder. 2nd edition (1975–1976).Residents Handbook, Roy N, Vance J, eds. (Foreword: Sloan LEG). 203 p. Snap-lock ring binder.
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ItemNo Preview AvailableTeleconsultation and Telediagnosis for Oral Health Assessment: An Australian PerspectiveMarino, R ; Clarke, K ; Manton, DJ ; Stranieri, A ; Collmann, R ; Kellet, H ; Borda, A ; Kumar, S (SPRINGER, 2015)
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ItemMapping Biomedical Vocabularies: A Semi-Automated Term Matching ApproachOfoghi, B ; Lopez-Campos, GH ; Martin Sanchez, FJ ; Verspoor, K ; Mantas, J ; Househ, MS ; Hasman, A (IOS PRESS, 2014)Biomedical vocabularies vary in scope, and it is often necessary to utilize multiple vocabularies simultaneously in order to cover the full range of concepts relevant to a given biomedical application. However, as the number and size of these resources grow both redundancy (i.e., different vocabularies containing similar terms) and inconsistency (i.e., different terms in multiple vocabularies referring to the same entity) between the vocabularies increase. Therefore, there is a need for automatically aligning vocabularies. In this paper, we explore and propose new methods for detecting probable matches between two vocabularies. The methods build upon existing string similarity functions, enhancing these functions for the context of semi-automated vocabulary matching.