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Discovery Projects - Grant ID: DP160102412

Title
Discovery Projects - Grant ID: DP160102412
Funding
ARC | Discovery Projects
Contract (GA) number
DP160102412
Start Date
2016/01/01
End Date
2020/12/31
Open Access mandate
no
Organizations
-
More information
http://purl.org/au-research/grants/arc/DP160102412

 

  • Computing Influence of a Product through Uncertain Reverse Skyline

    Islam, Md. Saiful; Rahayu, Wenny; Liu, Chengfei; Anwar, Tarique; Stantic, Bela (2017)
    Projects: ARC | Discovery Projects - Grant ID: DP170104747 (DP170104747), ARC | Discovery Projects - Grant ID: DP160102412 (DP160102412)
    Understanding the influence of a product is crucially important for making informed business decisions. This paper introduces a new type of skyline queries, called uncertain reverse skyline, for measuring the influence of a probabilistic product in uncertain data settings. More specifically, given a dataset of probabilistic products P and a set of customers C, an uncertain reverse skyline of a probabilistic product q retrieves all customers c in C which include q as one of their preferred pro...

    No-But-Semantic-Match: Computing Semantically Matched XML Keyword Search Results

    Naseriparsa, Mehdi; Islam, Md. Saiful; Liu, Chengfei; Moser, Irene (2017)
    Projects: ARC | Discovery Projects - Grant ID: DP160102412 (DP160102412), ARC | Discovery Projects - Grant ID: DP140103499 (DP140103499)
    Users are rarely familiar with the content of a data source they are querying, and therefore cannot avoid using keywords that do not exist in the data source. Traditional systems may respond with an empty result, causing dissatisfaction, while the data source in effect holds semantically related content. In this paper we study this no-but-semantic-match problem on XML keyword search and propose a solution which enables us to present the top-k semantically related results to the user. Our solu...
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