ORCID Profile
0000-0003-3425-0780
Current Organisation
Australian National University
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Information Systems | Information Systems Management | Business Information Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2012
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: IEEE
Date: 07-2011
DOI: 10.1109/ICWS.2011.88
Publisher: Elsevier BV
Date: 11-2017
Publisher: IEEE
Date: 12-2010
Publisher: Springer International Publishing
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2007
DOI: 10.1109/MS.2007.126
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: Springer International Publishing
Date: 2020
Publisher: Springer International Publishing
Date: 2020
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Springer International Publishing
Date: 2022
Publisher: Springer Science and Business Media LLC
Date: 14-03-2009
Publisher: ACM
Date: 16-03-2008
Publisher: ACM
Date: 15-10-2018
DOI: 10.1145/3277593
Publisher: IEEE
Date: 09-2006
DOI: 10.1109/SCC.2006.65
Publisher: ACM
Date: 07-10-2015
Publisher: Oxford University Press (OUP)
Date: 20-03-2018
DOI: 10.1093/BIB/BBY015
Abstract: Searching for precise terms and terminological definitions in the biomedical data space is problematic, as researchers find overlapping, closely related and even equivalent concepts in a single or multiple ontologies. Search engines that retrieve ontological resources often suggest an extensive list of search results for a given input term, which leads to the tedious task of selecting the best-fit ontological resource (class or property) for the input term and reduces user confidence in the retrieval engines. A systematic evaluation of these search engines is necessary to understand their strengths and weaknesses in different search requirements. We have implemented seven comparable Information Retrieval ranking algorithms to search through ontologies and compared them against four search engines for ontologies. Free-text queries have been performed, the outcomes have been judged by experts and the ranking algorithms and search engines have been evaluated against the expert-based ground truth (GT). In addition, we propose a probabilistic GT that is developed automatically to provide deeper insights and confidence to the expert-based GT as well as evaluating a broader range of search queries. The main outcome of this work is the identification of key search factors for biomedical ontologies together with search requirements and a set of recommendations that will help biomedical experts and ontology engineers to select the best-suited retrieval mechanism in their search scenarios. We expect that this evaluation will allow researchers and practitioners to apply the current search techniques more reliably and that it will help them to select the right solution for their daily work. The source code (of seven ranking algorithms), ground truths and experimental results are available at anielapoliveira/bioont-search-benchmark
Publisher: Association for Computing Machinery (ACM)
Date: 06-05-2020
DOI: 10.1145/3369875
Abstract: Linked Open Data promises to provide guiding principles to publish interlinked knowledge graphs on the Web in the form of findable, accessible, interoperable, and reusable datasets. We argue that while as such, Linked Data may be viewed as a basis for instantiating the FAIR principles, there are still a number of open issues that cause significant data quality issues even when knowledge graphs are published as Linked Data. First, to define boundaries of single coherent knowledge graphs within Linked Data, a principled notion of what a dataset is, or, respectively, what links within and between datasets are, has been missing. Second, we argue that to enable FAIR knowledge graphs, Linked Data misses standardised findability and accessability mechanism via a single entry link. To address the first issue, we (i) propose a rigorous definition of a naming authority for a Linked Data dataset, (ii) define different link types for data in Linked datasets, (iii) provide an empirical analysis of linkage among the datasets of the Linked Open Data cloud, and (iv) analyse the dereferenceability of those links. We base our analyses and link computations on a scalable mechanism implemented on top of the HDT format, which allows us to analyse quantity and quality of different link types at scale.
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: ACM
Date: 11-03-2007
Publisher: IEEE
Date: 07-2008
Publisher: Springer International Publishing
Date: 2019
Publisher: Elsevier BV
Date: 05-2019
Publisher: ACM
Date: 23-05-2006
Publisher: IEEE
Date: 07-2009
DOI: 10.1109/ICWS.2009.51
Publisher: Springer International Publishing
Date: 2019
Publisher: ACM
Date: 07-04-2014
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: ACM
Date: 30-04-2023
Publisher: Wiley
Date: 20-05-2014
DOI: 10.1002/SPE.2266
Publisher: Elsevier BV
Date: 10-2010
DOI: 10.1016/J.HEARES.2010.06.017
Abstract: Three experiments studied the effect of stimulus polarity on the Electrically Evoked Compound Action Potential (ECAP) obtained with the masker-probe paradigm on different sites along the cochlea in cochlear implant users. Experiment 1 used a biphasic cathodic-1st (BIC) masker and showed that ECAP N(1) peak latencies were longer for BIC than for biphasic anodic-1st (BIA) probes on all electrodes under test. Both the latency of each probe as well as the latency difference between BIA and BIC probes increased when the phase width (PW) of the masker and probe were increased together. Experiment 2 used maskers with long inter-phase gaps (IPGs), and, by manipulating the polarity of the second phase (closest in time to the biphasic probe), showed that only an anodic phase could mask the probe response. Experiment 3 used maskers and probes with long IPGs and measured ECAPs to the first phase of the probe ECAPs could be measured when both this phase and the second phase of the masker were anodic, but not when they were cathodic. Our results extend those of a previous study, showing that the auditory nerve in humans is preferentially activated by anodic stimulation, to different sites along the cochlea.
Publisher: IEEE
Date: 12-2012
Publisher: Elsevier BV
Date: 08-2012
DOI: 10.1016/J.HEARES.2012.05.003
Abstract: In cochlear implants (CI) bipolar (BP) electrical stimulation has been suggested as a method to reduce the spread of current along the cochlea. However, behavioral measurements in BP mode have shown either similar or worse performance than in monopolar (MP) mode. This could be explained by a bimodal excitation pattern, with two main excitation peaks at the sites of the stimulating electrodes. We measured the spread of excitation (SOE) by means of the electrically evoked compound action potential (ECAP), obtained using the forward-masked paradigm. The aim was to measure the bimodality of the excitation and to determine whether it could be reduced by using asymmetric pulses. Three types of maskers shapes were used: symmetric (SYM), pseudomonophasic (PS), and symmetric with a long inter-phase gap (SYM-IPG) pulses. Maskers were presented in BP + 9 (wide), BP + 3 (narrow) and MP (only SYM) mode on fixed electrodes. The SOE obtained with the MP masker showed a main excitation peak close to the masker electrode. Wide SYM maskers produced bimodal excitation patterns showing two peaks close to the electrodes of the masker channel, whereas SYM-IPG maskers showed a single main peak near the electrode for which the masker's second phase (responsible for most of the masking) was anodic. Narrow SYM maskers showed complex and wider excitation patterns than asymmetric stimuli consistent with the overlap of the patterns produced by each channel's electrodes. The masking produced by narrow SYM-IPG and PS stimuli was more pronounced close to the masker electrode for which the effective phase was anodic. These results showed that the anodic polarity is the most effective one in BP mode and that the bimodal patterns produced by SYM maskers could be partially reduced by using asymmetric pulses.
Publisher: IEEE
Date: 07-2007
Publisher: IEEE
Date: 2005
Location: Austria
Start Date: 2016
End Date: 2018
Funder: Australian Research Council
View Funded ActivityStart Date: 2019
End Date: 2020
Funder: Australian Department of Finance
View Funded ActivityStart Date: 02-2017
End Date: 12-2023
Amount: $450,000.00
Funder: Australian Research Council
View Funded Activity