Chancellery Research - Research Publications

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    Immediate Text Search on Streams Using Apoptosic Indexes
    Eades, P ; Wirth, A ; Zobel, J ; Hagen, M ; Verberne, S ; Macdonald, C ; Seifert, C ; Balog, K ; Norvag, K ; Setty, V (SPRINGER INTERNATIONAL PUBLISHING AG, 2022)
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    The Role of Data in a Rapid and Coordinated Response to Infectious Disease Outbreaks
    Pillai, P (Research Data Alliance, 2020)
    How does data support preparedness towards infectious disease emergencies? What information is needed to identify the start of an outbreak? How does data inform the potential severity and spread of an outbreak? The infectious diseases data ecosystem is comprised of information from a wide range of sources like general practices, jurisdictional surveillance systems, clinical research, emergency departments, diagnostic laboratories, epidemiology studies and genomics. The carefully distilled knowledge from this diverse data ecosystem enables better preparedness for and response towards an outbreak. Past infectious disease outbreaks have demonstrated several challenges associated with rapid aggregation, integration and sharing of data to inform a response during an outbreak. It is essential to improve data collection, facilitate data sharing and support data usage for decision-making in the infectious diseases community. This keynote speech will describe the composition of the infectious disease data ecosystem and highlight some challenges from the past outbreaks associated with building the data ecosystem for a response. This speech will also describe how making data consistent and shareable has strengthened preparedness and response activities in present-day scenario.
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    Developing a workforce to support research reliant on data and compute
    Turpin, A ; Gruba, P ; Pozanenko, A ; Stupnikov, S ; Thalheim, B ; Mendez, E ; Kiselyova, N (CEUR, 2021-01-01)
    We describe the construction, operation and evaluation of the Melbourne Data Analytics Platform; a group of academics whose mission is to support research requiring non-trivial data analysis or compute at the University of Melbourne.
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    Information Extraction from Legal Documents: A Study in the Context of Common Law Court Judgements
    Mistica, M ; Zhang, G ; Chia, H ; Manandhar Shrestha, K ; Gupta, R ; Khandelwal, S ; Paterson, J ; Baldwin, T ; Beck, D (Australasian Language Technology Association, 2021)
    ‘Common Law’ judicial systems follow the doctrine of precedent, which means the legal principles articulated in court judgements are binding in subsequent cases in lower courts. For this reason, lawyers must search prior judgements for the legal principles that are relevant to their case. The difficulty for those within the legal profession is that the information that they are looking for may be contained within a few paragraphs or sentences, but those few paragraphs may be buried within a hundred-page document. In this study, we create a schema based on the relevant information that legal professionals seek within judgements and perform text classification based on it, with the aim of not only assisting lawyers in researching cases, but eventually enabling large-scale analysis of legal judgements to find trends in court outcomes over time.