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    AuthorHayes, Conor (6)Heitmann, Benjamin (4)Barraza-Urbina, Andrea (3)Hulpus, Ioana (3)Muñoz, Emir (2)... View MoreSubjectLinked data (4)Recommender systems (3)Data analytics (2)Social media (2)Twitter (2)... View MoreDate Issued
    2015 (16)
    TypeConference Paper (10)Workshop paper (3)Article (2)Technical Report (1)

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    Validation of expressive XML keys with XML schema and XQuery 

    Liu, Bo; Link, Sebastian; Muñoz, Emir (ACS, 2015)
    The eXtensible Markup Language (XML) is the defacto industry standard for exchanging data on the Web and elsewhere. While the relational model of data enjoys a well-accepted definition of a key, several competing notions ...
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    Random Indexing Explained with High Probability 

    QasemiZadeh, Behrang (2015)
    Random indexing (RI) is an incremental method for constructing a vector space model (VSM) with a reduced dimensionality. Previously, the method has been justified using the mathematical framework of Kanerva's sparse ...
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    On a Linked Data platform for Irish historical vital records 

    Debruyne, Christophe (Springer, 2015)
    The Irish Record Linkage 1864-1913 is a multi-disciplinary project aiming to create a platform for analyzing events captured in historical birth, marriage and death records by applying semantic technologies for annotating, ...
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    Using social media data for online television recommendation services at RTÉ Ireland 

    Barraza-Urbina, Andrea; Hromic, Hugo; Heitmann, Benjamin; Hayes, Conor; Hulpus, Ioana (2015-09)
    Raidió Teilifís Éireann (RTÉ) is the public service television and radio broadcaster in Ireland. Through on demand video services, RTÉ allows their users to catch up on television broadcasts via the RTÉ Player. The company ...
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    Community topic usage in social networks 

    Wood, Ian (ACM, 2015-10)
    When studying large social media data sets, it is useful to reduce the dimensionality of both the network (e.g. by finding communities) and user-generated data such as text (e.g. using topic models). Algorithms exist for ...
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    A linked data-based decision tree classifier to review movies 

    Aldarra, Suad; Muñoz, Emir (CEUR-WS.org, 2015)
    In this paper, we describe our contribution to the 2015 Linked Data Mining Challenge. The proposed task is concerned with the prediction of review of movies as good or bad , as does Metacritic website based on critics ...
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    Event Analysis in Social Media Using Clustering of Heterogeneous Information Networks 

    Prangnawarat, Narumol; Hulpus, Ioana; Hayes, Conor (The 28th International FLAIRS Conference (AAAI Publications) (AAAI), 2015)
    In this paper, we propose a novel approach for social media event finding in order to support fast access to information that users find relevant. While there are many approaches related to this problem, they mainly focus ...
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    Path-based semantic relatedness on linked data and its use to word and entity disambiguation 

    Hulpus, Ioana; Prangnawarat, Narumol; Hayes, Conor (2015)
    Semantic relatedness and disambiguation are fundamental problems for linking text documents to the Web of Data. There are many approaches dealing with both problems but most of them rely on word or concept distribution ...
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    XploDiv: Diversification Approach for Recommender Systems 

    Barraza-Urbina, Andrea; Heitmann, Benjamin; Hayes, Conor; Ramos, Angela Carrillo (INSIGHT Centre for Data Analytics, National University of Ireland, Galway, 2015)
    Recommender Systems 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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    Integrating Open Source Software Repositories on the Web through Linked Data 

    Iqbal, A; Decker S (2015)
    In this paper, we propose a novel approach to the problem of integrating code forges based on metadata (e.g., programming language, database, intended audience, operating system), similar software projects and software ...
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