Recent Submissions

  • The path to success: A study of user behaviour and success criteria in online communities 

    Aumayr, Erik; Hayes, Conor (ACM, 2017-08-23)
    Maintaining online communities is vital in order to increase and retain their economic and social value. That is why community managers look to gauge the success of their communities by measuring a variety of user behaviour, ...
  • A case study of collecting dynamic social data: The pro-ana twitter community 

    Wood, Ian (Australian National University, College of Engineering and Computer Science, Department of Computer Science, 2015)
    The study of social processes in on-line social media content is a relatively new and rapidly growing endeavour. Many social media platforms provide a public API (Application Programming Interface) which can be used for ...
  • The role of open data in driving sustainable mobility in nine smart cities 

    Yadav, Piyush; Hasan, Souleiman; Ojo, Adegboyega; Curry, Edward (Association for Information Systems, 2017-06-05)
    In today’s era of globalization, sustainable mobility is considered as a key factor in the economic growth of any country. With the emergence of open data initiatives, there is tremendous potential to improve mobility. ...
  • Non-partitioning merge-sort: Performance enhancement by elimination of division in divide-and-conquer algorithm 

    Aslam, Asra; Ansari, Mohd. Samar; Varshney, Shikha (ACM, 2016-03-04)
    The importance of a high performance sorting algorithm with low time complexity cannot be over stated. Several benchmark algorithms viz. Bubble Sort, Insertion Sort, Quick Sort, and Merge Sort, etc. have tried to achieve ...
  • Analysing and improving embedded markup of learning resources on the web 

    Dietze, Stefan; Taibi, Davide; Yu, Ran; Barker, Phil; d'Aquin, Mathieu (ACM, 2017-04-03)
    Web-scale reuse and interoperability of learning resources have been major concerns for the technology-enhanced learning community. While work in this area traditionally focused on learning resource metadata, provided ...
  • Unsupervised learning for understanding student achievement in a distance learning setting 

    Liu, Shuangyan; d'Aquin, Mathieu (IEEE, 2017-04-25)
    Many factors could affect the achievement of students in distance learning settings. Internal factors such as age, gender, previous education level and engagement in online learning activities can play an important role ...
  • Measuring accuracy of triples in knowledge graphs 

    Liu, Shuangyan; d'Aquin, Mathieu; Motta, Enrico (Springer, 2017-06-19)
    An increasing amount of large-scale knowledge graphs have been constructed in recent years. Those graphs are often created from text-based extraction, which could be very noisy. So far, cleaning knowledge graphs are ...
  • Challenges with image event processing: Poster 

    Aslam, Asra; Hasan, Souleiman; Curry, Edward (ACM, 2017-06-19)
    There has been substantial research in the area of event processing where systems are focused on event processing of structured data. However, in the context of smart cities, signi cant number of realtime applications ...
  • Improved edge detection algorithm for brain tumor segmentation 

    Aslam, Asra; Khan, Ekram; Beg, M.M. Sufyan (Elsevier, 2015-08-21)
    Image segmentation is used to separate objects from the background, and thus it has proved to be a powerful tool in bio-medical imaging. In this paper, an Improved Edge Detection algorithm for brain-tumor segmentation is ...
  • Classifying sentential modality in legal language: A use case in financial regulations, acts and directives 

    O'Neill, James; Buitelaar, Paul; Robin, Cécile; O'Brien, Leona (ACM, 2017-06-12)
    Texts expressed in legal language are often di cult and time consuming for lawyers to read through, particularly for the purpose of identifying relevant deontic modalities (obligations, prohibitions and permissions). ...
  • Open social data crime analytics 

    Ihsan, Ullah,; Lane, Caoilfhionn; Drury, Brett; Mellotte, Marc; Madden, Michael G. (IJCAI 17 Melbourne, 2017-07-20)
    Crime is under-reported. Reporting crime requires the victim to complete a number of administrative obligations. These obligations, as well as the nature of the crime, may create an inertia that discourages the reporting ...
  • Using drug similarities for discovery of possible adverse reactions 

    Muñoz, Emir; Nováček, Vít; Vandenbussche, Pierre-Yves (AMIA, 2017-02-10)
    We propose a new computational method for discovery of possible adverse drug reactions. The method consists of two key steps. First we use openly available resources to semi-automatically compile a consolidated data set ...
  • Grand challenge: Automatic anomaly detection over sliding windows 

    Zaarour, Tarek; Pavlopoulou, Niki; Hasan, Souleiman; ul Hassan, Umair; Curry, Edward (Association for Computing Machinery ACM, 2017-06-19)
    With the advances in the Internet of Things and rapid generation of vast amounts of data, there is an ever growing need for leveraging and evaluating event-based systems as a basis for building realtime data analytics ...
  • Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models 

    Muñoz, Emir; Nováček, Vít; Vandenbussche, Pierre-Yves (Oxford University Press (OUP), 2017-08-18)
    Timely identification of adverse drug reactions (ADRs) is highly important in the domains of public health and pharmacology. Early discovery of potential ADRs can limit their effect on patient lives and also make drug ...
  • Mining cardinalities from knowledge bases 

    Muñoz, Emir; Nickles, Matthias (Springer Verlag, 2017-08-01)
    Cardinality is an important structural aspect of data that has not received enough attention in the context of RDF knowledge bases (KBs). Information about cardinalities can be useful for data users and knowledge engineers ...
  • Tell me who are your friends, and I’ll tell you who you are 

    Torres-Tramón, Pablo; Hayes, Conor (AICS 2016, 2016-09-20)
    Mentions of politicians in news articles can reflect politician interactions on their daily activities. In this work, we present a mathematical model to represent such interactions as a graph, and we use it to predict the ...
  • On developing extraction rules for mining informal scientific references from Altmetric data sources 

    Khawaja, Waqas; Taylor, Michael; Davis, Brian (Springer Verlag, 2015-06-04)
    Altmetrics measure scientific impact outside of traditional scientific literature. We identify mentions of scientific research or entities like researchers, academic or research organizations in a corpus containing blogs, ...
  • Identifying equivalent relation paths in knowledge graphs 

    Mohamed, Sameh K.; Muñoz, Emir; Nováček, Vít; Vandenbussche, Pierre-Yves (Springer Verlag, 2017-06-19)
    Relation paths are sequences of relations with inverse that allow for complete exploration of knowledge graphs in a two-way unconstrained manner. They are powerful enough to encode complex relationships between entities ...
  • The role of negative results for choosing an evaluation approach - a recommender systems case study 

    Heitmann, Benjamin; Hayes, Conor (CEUR Workshop Proceedings, 2015-06-01)
    We describe a case study, which shows how important negative results are in uncovering biased evaluation methodologies. Our re- search question is how to compare a recommender algorithm that uses an RDF graph to a ...
  • XPLODIV: An exploitation-exploration aware diversification approach for Recommender Systems 

    Barraza-Urbina, Andrea; Heitmann, Benjamin; Hayes, Conor; Carrillo-Ramos, Angela (AAAI Press, 2015-07)
    Recommender Systems (RS) have emerged to guide users in the task of efficiently browsing/exploring a large product space, helping users to quickly identify interesting products. However, suggestions generated with traditional ...

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