Now showing items 157-176 of 471

  • Generating linked-data based domain-specific sentiment lexicons from legacy language and semantic resources 

    Vulcu, Gabriela; Buitelaar, Paul; Negi, Sapna; Pereira, Bianca; Arcan, Mihael; Coughlan, Barry; Sanchez, J. Fernando; Iglesias, Carlos A. (European Language Resources Association, 2014)
    We present a methodology for legacy language resource adaptation that generates domain-specific sentiment lexicons organized around domain entities described with lexical information and sentiment words described in the ...
  • GenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer research 

    Kamdar, M; Iqbal, A; Saleem, M; Deus, H; Decker, S (2014)
    Cancer genomics researchers have greatly benefited from high-throughput technologies for the characterization of genomic alterations in patients. These voluminous genomics datasets when supplemented with the appropriate ...
  • GenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer research 

    Kamdar, MR; Iqbal, A; Saleem, M; Deus, HF; Decker, S (ISCB, 2014-02-28)
    Cancer genomics researchers have greatly benefited from high-throughput technologies for the characterization of genomic alterations in patients. These voluminous genomics datasets when supplemented with the appropriate ...
  • Geographic Routing in Wireless Multimedia Sensor Networks 

    Shu, Lei; Hauswirth, Manfred (IEEE, 2008)
    In this paper, a -Phase geographic GreeTwody Forwarding (TPGF) routing algorithm is proposed in wireless multimedia sensor networks (WMSNs). TPGF is a pure geographic greedy forwarding routing algorithm, which does not ...
  • 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 ...
  • Handling heterogeneity in RosettaNet messages 

    Haller, Armin; Kotinurmi, Paavo; Vitvar, Tomas; Oren, Eyal (2007)
    We present a semantic B2B gateway based on the WSMX se- mantic Service-Oriented Architecture to tackle heterogeneities in RosettaNet messages. We develop a rich RosettaNet ontology and use the axiomatised knowledge and ...
  • Harvesting Desktop Data for Semantic Blogging 

    Möller, Knud; Decker, Stefan (2005)
    A typical computer user¿s desktop contains large amount of formal data, such as addresses, events or bibliopraphies. Especially within a corporate or organizational environment, it is often important to exchange this data ...
  • Heterogeneity and Context in Semantic-Web-Enabled HCLS Systems 

    Zimmermann, Antoine; Sahay, Ratnesh; Fox, Ronan; Polleres, Axel (Springer, 2009)
    The need for semantics preserving integration of complex data has been widely recognized in the healthcare domain. While standards such as Health Level Seven (HL7) have been developed in this direction, they have mostly ...
  • Historical data preservation and interpretation pipeline for Irish civil registration records 

    Beyan, Oya; Mealy, P. J.; Grant, Dolores; Grant, Rebecca; Harrower, Natalie; Breathnach, Ciara; Collins, Sandra; Decker, Stefan (Springer Verlag, 2015-10-28)
    Semantic Web technologies give us the opportunity to understand today's data-rich society and provide novel means to explore our past. Civil registration records such as birth, death, and marriage registers contain a vast ...
  • Hot Topics and Schisms in NLP: Community and Trend Analysis with Saffron on ACL and LREC Proceedings 

    Buitelaar, Paul; Bordea, Georgeta; Coughlan, Barry (2014)
    In this paper we present a comparative analysis of two series of conferences in the field of Computational Linguistics, the LREC conference and the ACL conference. Conference proceedings were ...
  • A hybrid method for rating prediction using linked data features and text reviews 

    Yumusak, Semih; Muñoz, Emir; Minervini, Pasquale; Dogdu, Erdogan; Kodaz, Halife (CEUR-WS.org, 2016)
    This paper describes our entry for the Linked Data Mining Challenge 2016, which poses the problem of classifying music albums as good or bad by mining Linked Data. The original labels are assigned according to aggregated ...
  • Hybrid SPARQL queries: fresh vs. fast results 

    Umbrich, Jurgen; Karnstedt, Marcel; Hogan, Aidan; Parreira, Xavier (2012)
  • HyperCuP Lightweight Implementation: A Universal Solution for Making Application Distributed 

    Grzonkowski, Slawomir; Kruk, Sebastian Ryszard (2006)
    Contemporary applications need an efficient solution for communication to implement robust information retrieval mechanisms and fault tolerant networks. Apart from implementing a robust, scalable communication protocol the ...
  • Identification of bilingual terms from monolingual documents for statistical machine translation 

    Arcan, Mihael; Giuliano, Claudio; Turchi, Marco; Buitelaar, Paul (Association for Computational Linguistics, 2014-08-23)
    The automatic translation of domain-specific documents is often a hard task for generic Statistical Machine Translation (SMT) systems, which are not able to correctly translate the large number of terms encountered in the ...
  • 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 ...
  • Identifying main obstacles for statistical machine translation of morphologically rich South Slavic languages 

    Popovic, Maja; Arcan, Mihael (European Association for Machine Translation, 2015-05-11)
    The best way to improve a statistical machine translation system is to identify concrete problems causing translation errors and address them. Many of these problems are related to the characteristics of the involved ...
  • IKHarvester Informal eLearning with SemanticWeb Harvesting 

    Jankowski, Jacek; Westerski, Adam; Kruk, Sebastian Ryszard; Nagle, Tadhg; Dobrzanski, Jaroslaw (IEEE, 2008)
    Only recently, researchers and practitioners alike have begun to fully understand the potential of eLearning and have concentrated on new tools and technologies for creating, capturing and distributing knowledge. In order ...
  • 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 ...
  • Imprecise Empirical Ontology Refinement: Application to Taxonomy Acquisition 

    Nováček, Vít (INSTICC, 2007)
    The significance of uncertainty representation has become obvious in the Semantic Web community recently. This paper presents new results of our research on uncertainty incorporation into ontologies created automatically ...
  • 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 ...