Browsing by Subject "Data analytics"
Now showing items 21-37 of 37
-
Methods for defining dynamic online communities and community detection in fast-paced social media streams
(NUI Galway, 2019-05-02)Microblogging social media focuses on fast open real-time communication using short messages between users and their followers. Twitter is currently one of the largest and widely known microblogging OSN in the world, with ... -
Modelling, planning and adaptive implementation of semantic event service
(2016-05-13)Recent developments in sensor networks, social media, process management and data analysis envisions interlinked devices, people, processes and data, constituting an Internet-of-Everything. These networks can be used to ... -
On learnability of constraints from RDF data
(Springer International Publishing, 2016-05-14)RDF is structured, dynamic, and schemaless data, which enables a big deal of flexibility for Linked Data to be available in an open environment such as the Web. However, for RDF data, flexibility turns out to be the source ... -
On the correlation between topic and user behaviour in online communities
(ICWSM-16, 2016-05-20)In the advancement of a better understanding of user behaviour on the Internet, clustering approaches are used as a means to group and categorise online communities. Although clustering approaches indicate similarity between ... -
Online community success - A study of success criteria and user behaviour in online communities
(NUI Galway, 2017-10-27)In a world where online users form communities for various purposes and around many different topics of interest, it has become of social and economic importance for owners, providers and managers of online communities to ... -
Open social data crime analytics
(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 ... -
SemanTex: semantic text exploration using document links implied by conceptual networks extracted from the texts
(ACMCEUR-WS.org, 2014)Despite of advances in digital document processing, exploration of implicit relationships within large amounts of textual resources can still be daunting. This is partly due to the ‘black-box’ nature of most current ... -
Semantic knowledge graphs to understand tumor evolution and predict disease survival in cancer
(NUI Galway, 2020-07-06)Genomics technologies have generated large amounts of easily accessible biological -omics data, providing an unprecedented opportunity to study the mechanism in cancer. However, clinical research and the life sciences ... -
Semantic relation classification: task formalisation and refinement
(Association for Computational Linguistics, 2016-12-12)The identification of semantic relations between terms within texts is a fundamental task in Natural Language Processing which can support applications requiring a lightweight semantic interpretation model. Currently, ... -
SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2)
(Insight Centre for Data Analytics, 2016-06-16)This paper describes the second edition of the shared task on Taxonomy Extraction Evaluation organised as part of SemEval 2016. This task aims to extract hypernym-hyponym relations between a given list of domain-specific ... -
SPORTAL: Searching for Public SPARQL Endpoints
(NUI Galway, 2016-10)There are hundreds of SPARQL endpoints on the Web, but finding an endpoint relevant to a client s needs is difficult: each endpoint acts like a black box, often without a description of its content. Herein we briefly ... -
Tell me who are your friends, and I’ll tell you who you are
(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 ... -
Triplifying Wikipedia's tables
(CEUR-WS.org, 2013)We are currently investigating methods to triplify the content of Wikipedia's tables. We propose that existing knowledge-bases can be leveraged to semi-automatically extract high-quality facts (in the form of RDF triples) ... -
A Twitter sentiment gold standard for the Brexit referendum
(CEUR Workshop Proceedings, 2016-09-12)A Twitter Sentiment Gold Standard for the Brexit Referendum Manuela Hürlimann, Brian Davis Insight Centre for Data Analytics National University of Ireland Galway, Ireland {first.last}@insight-centre.org Keith Cortis, André ... -
Using linked data to mine RDF from wikipedia's tables
(ACM, 2014)The tables embedded in Wikipedia articles contain rich, semi-structured encyclopaedic content. However, the cumulative content of these tables cannot be queried against. We thus propose methods to recover the semantics of ... -
Validation of expressive XML keys with XML schema and XQuery
(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 ... -
µRaptor: A DOM-based system with appetite for hCard elements
(CEUR-WS.org, 2014)This paper describes µRaptor, a DOM-based method to extract hCard microformats from HTML pages stripped of microformat markup. µRaptor extracts DOM sub-trees, converts them into rules, and uses them to extract hCard ...