Browsing by Author "Davis, Brian"

Now showing items 1-20 of 30

    • Contextualising sensors with linked data to improve relevancy, data quality and network adaptability 

      Leggieri, Myriam (2015-10-09)
      A sensor taken by itself, with no indication of what it is sensing, with what unit of measurement and where, would keep working without anybody being able to interpret its output. The sensor needs to be "contextualised". ...

    • Do city dashboards make sense? Conceptualising user experiences and challenges in using city dashboards. A case study 

      Vornhagen, Heike; Zarrouk, Manel; Davis, Brian; Young, Karen (Association for Computing Machinery (ACM), 2021-06-09)
      City dashboards present information about a city to a broad audience with some thought given as to how some of these audiences might understand the information. However, little research has looked at how ’citizens’ make ...

    • Dublin City University and Partners' participation in the INS and VTT Tracks at TRECVid 2016 

      Marsden, Mark; Mohedano, Eva; McGuinness, Kevin; Calafell, Andrea; Giro-i-Nieto, Xavier; O'Connor, Noel E.; Zhou, Jiang; Azavedo, Lucas; Daudert, Tobias; Davis, Brian; Hürlimann, Manuela; Afli, Haithem; Du, Jinhua; Ganguly, Debasis; Li, Wei; Way, Andy; Smeaton, Alan F. (2016-11-14)
      Dublin City University participated with a consortium of colleagues from NUI Galway and Universitat Polit`ecnica de Catalunya in two tasks in TRECVid 2016, Instance Search (INS) and Video to Text (VTT). For the INS task ...

    • FinSentiA: sentiment analysis in English financial microblogs 

      Gaillat, Thomas; Sousa, Annanda; Zarrouk, Manel; Davis, Brian (NUI Galway, 2018-05-14)
      The objective of this paper is to report on the building of a Sentiment Analysis (SA) system dedicated to financial microblogs in English. The purpose of our work is to build a financial classifier that predicts the sentiment ...

    • From simplified text to knowledge representation using controlled natural language 

      Safwat, Hazem; Zarrouk, Manel; Davis, Brian (2017-04-17)
      Knowledge based systems provide means to store data and perform reasoning on top of it. Controlled Natural Language (CNL) is considered as an engineered subset of natural language. CNLs aim to abstract the complexity ...

    • Implicit and explicit aspect extraction in financial microblogs 

      Gaillat, Thomas; Stearns, Bernardo; McDermott, Ross; Sridhar, Gopal; Zarrouk, Manel; Davis, Brian (Association for Computational Linguistics, 2018-07-15)
      This paper focuses on aspect extraction which is a sub-task of Aspect-based Sentiment Analysis. The goal is to report an extraction method of financial aspects in microblog messages. Our approach uses a stock-investment ...

    • In or out? Real-time monitoring of BREXIT sentiment on Twitter 

      Vasiliu, Laurentiu; Freitas, André; Caroli, Frederico; McDermott, Ross; Zarrouk, Manel; Hürlimann, Manuela; Davis, Brian; Daudert, Tobias; Khaled, Malek Ben; Byrne, David; Fernández, Sergio; Cavallini, Angelo (CEUR Workshop Proceedings, 2016-09-12)
      The SSIX (Social Sentiment analysis financial IndeXes) project is a European Innovation Project sponsored by the European Commission under the Horizon 2020 framework. SSIX aims to provide European SMEs with a collection ...

    • Infrastructure for Dynamic Knowledge Integration -- Automated Biomedical Ontology Extension Using Textual Resources 

      Nováček, Vít; Handschuh, Siegfried; Davis, Brian (Elsevier, 2008)
      We present a novel ontology integration technique that explicitly takes the dynamics and data-intensiveness of e-health and biomedicine application domains into account. Changing and growing knowledge, possibly contained ...

    • Infrastructure for dynamic knowledge integration—automated biomedical ontology extension using textual resources 

      Nováček, Vít; Laera, Loredana; Handschuh, Siegfried; Davis, Brian (Elsevier BV, 2008-10-01)

    • Knowledge extraction from simplified natural language text 

      Abdelaal, Hazem (NUI Galway, 2019-10-08)
      Knowledge base creation and population are an essential formal backbone for a variety of intelligent applications, decision support and expert systems and intelligent search. Although knowledge extraction from ...

    • Lre journal cnl introduction 

      Davis, Brian; Kuhn, Tobias; Kaljurand, Kaarel (Springer Nature, 2016-11-19)

    • 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, ...

    • Personalized Question Answering: A Use Case for Business Analysis 

      Thai, VinhTuan; O'Riain, Sean; Davis, Brian; O'Sullivan, David (2006)
      In this paper, we introduce the Personalized Question Answering framework, which aims at addressing certain limitations of existing domain specific Question Answering systems. Current development efforts are ongoing to ...

    • Predicting citations from mainstream news, weblogs and discussion forum 

      Timilsina, Mohan; Davis, Brian; Taylor, Mike; Hayes, Conor (ACM (Association for Computing Machinery), 2017-08-23)
      The growth in the alternative digital publishing is widening the breadth of scholarly impact beyond the conventional bibliometric community. Thus, research is becoming more reachable both inside and outside of academic ...

    • Rewriting simplified text into a controlled natural language 

      Safwat, Hazem; Zarrouk, Manel; Davis, Brian (IOS Press, 2018-08-27)
      While machine processable Controlled Natural Languages (CNLs) as a natural language interface have proven a popular, unambiguous and user friendly method for non experts to engineer formal knowledge-bases, human-oriented ...

    • Semantic relation classification: task formalisation and refinement 

      Silva, Vivian S.; Hürliman, Manuela; Davis, Brian; Handschuh, Siegfried; Freitas, André (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, ...

    • Semantically Enhanced Passage Retrieval for Business Analysis Activity 

      Thai, VinhTuan; Davis, Brian; O'Riain, Sean; O'Sullivan, David; Handschuh, Siegfried (2008)
      Business analysis activity often involves the identification and extraction of information from business reports. The unstructured content of business reports poses a challenge to current Business Intelligence technologies. ...

    • SemEval-2017 Task 5: Fine-grained sentiment analysis on financial microblogs and news 

      Cortis, Keith; Freitas, André; Daudert, Tobias; Huerlimann, Manuela; Zarrouk, Manel; Handschuh, Siegfried; Davis, Brian (Association for Computational Linguistics, 2017-08-03)
      This paper discusses the “Fine-Grained Sentiment Analysis on Financial Microblogs and News” task as part of SemEval-2017, specifically under the “Detecting sentiment, humour, and truth” theme. This task contains two ...

    • SemR-11: a multi-lingual gold-standard for semantic similarity and relatedness for eleven languages 

      Barzegar, Siamak; Davis, Brian; Zarrouk, Manel; Handschuh, Siegfried; Freitas, André (European Language Resources Association, 2018-05-07)
      This work describes SemR-11, a multi-lingual dataset for evaluating semantic similarity and relatedness for 11 languages (German, French, Russian, Italian, Dutch, Chinese, Portuguese, Swedish, Spanish, Arabic and Persian). ...

    • Sensemaking of complex sociotechnical systems: the case of governance dashboards 

      Vornhagen, Heike; Davis, Brian; Zarrouk, Manel (Association for Computing Machinery (ACM), 2018-05-30)
      This research project is concerned with developing a suitable visualization model to depict a complex socio-technical system such as a city. It focuses on governance dashboards as the main starting point as these aim to ...