Now showing items 90-109 of 275

  • 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 ...
  • 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 ...
  • 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 ...
  • Hybrid SPARQL queries: fresh vs. fast results 

    Umbrich, Jurgen; Karnstedt, Marcel; Hogan, Aidan; Parreira, Xavier (2012)
  • 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 ...
  • Improving wordnets for under-resourced languages using machine translation 

    Chakravarthi, Bharathi Raja; Arcan, Mihael; McCrae, John P. (Global Wordnet Association, 2018-01-08)
    Wordnets are extensively used in natural language processing, but the current approaches for manually building a wordnet from scratch involves large research groups for a long period of time, which are typically not ...
  • Inferring translation candidates for multilingual dictionary generation with multi-way neural machine translation 

    Arcan, Mihael; Torregrosa, Daniel; Ahmadi, Sina; McCrae, John P. (National University of Ireland, Galway, 2019-05-20)
    In the widely-connected digital world, multilingual lexical resources are one of the most important resources, for natural language processing applications, including information retrieval, question answering or knowledge ...
  • Infrastructure for data processing in large-scale interconnected sensor network 

    Aberer, Karl; Hauswirth, Manfred (2007)
    With the price of wireless sensor technologies diminishing rapidly we can expect large numbers of autonomous sensor networks being deployed in the near future. These sensor networks will typically not remain isolated but ...
  • Innovative Solution to Service Discovery and Integration using WSMOLX 

    Zaremba, Maciej; Zaharia, Raluca; Vitvar, Tomas (Springer, 2008)
    WSMX is a Semantic Web services broker enabling dynamic discovery and agile B2B integration of enterprise services. Our framework enables on-demand service discovery encompassing frequently changing aspects like fine-grained ...
  • Instance selection for online automatic post-editing in a multi-domain scenario 

    Chatterjee, Rajen; Arcan, Mihael; Negri, Matteo; Turchi, Marco (Association for Machine Translation in the Americas, 2016)
    In recent years, several end-to-end online translation systems have been proposed to successfully incorporate human post-editing feedback in the translation workflow. The performance of these systems in a multi-domain ...